Abstract: Representative embodiments are directed to distributed sensor systems from which measurement data is extracted using mobile devices. Representative embodiments record access attempts by the mobile devices and calculate the probabilities of future access by a mobile device to sensor devices using the recorded information. Collection points are selected in response to the probabilities of future access. Additionally, memory management and data prioritization may occur that is at least partially dependent upon the probabilities of future access.

Abstract: A method using various heuristics techniques for resolving ambiguity in location determination in environments with or without noise. A final location determination solution may be determined from a set of ambiguous location determination solutions by using clock temporal bias value, by using consistency information of ranging signal order such as the time of arrival and/or the received power level of the ranging signals, by using the distances to the sources, and/or by using other discriminator functions to select the final location determination solution from a plurality of ambiguous location determination solutions. The main advantage of the heuristic approaches is that redundant measurements are not required for location determination solution disambiguation.

Abstract: In summary, the invention relates to a device, a system, a method and a computer program for spectrum sensing. A detection procedure for detecting a signal of interest or an event by using a plurality of sensing devices capable of communicating with a central unit is proposed. The sensing devices can compute soft detection metrics and communicate this information to a central unit, where the information may be used to make a final detection decision using a certain specified rule. The signaling overhead of the proposed approach can be of the same order as that of a hard signaling approach. However, the proposed approach may achieve a better detection performance.

Abstract: A system for screening nucleotide sequences, a method therefor, a program, a recording medium, and a server on which the screening of nucleotide sequences is executed. The solution comprises a step of storing target nucleotide sequence data and a probe nucleotide sequence, a step of generating complementary sequence data from a probe nucleotide sequence that may be bound to the target nucleotide sequence, and storing a maximum acceptable edit distance between the target nucleotide sequence and the probe nucleotide sequence, a step of reading out each nucleotide sequence data and the maximum edit distance from each storing unit, and evaluating the binding possibility of the target nucleotide sequence data and the complementary sequence data in descending order of edit distance, and a step of storing the result of the binding evaluation in a storage unit.

Abstract: Disclosed are various embodiments for outage detection. In one embodiment, an outage detection system includes a signal sampler configured to sample a signal on a communications link and to determine a noise level and a signal level of the sample. An outage detection system also includes a comparator configured to compare a critical value with a sum of signal and noise of the sample. An outage detection system further includes a binomial probability analyzer configured to calculate a binomial probability of false outage of the sample and the previous N samples.

Abstract: Embodiments include systems and methods of non-coherent signal processing. For example, one embodiment includes a method of a non-coherent signal detection. The method includes receiving data indicative of a received signal, and evaluating a probability density function indicative of a signal parameter based on the received data. Evaluating the probability density function comprises identifying at least one of a plurality of terms of summation having at least one peak of the probability density function and evaluating the plurality of terms of a non-central chi-square distribution determining the signal parameter based at least in part on the received data and the calculated probability density.

Abstract: Evaluating website visitors includes: obtaining historical sample information of a plurality of past website visitors; based on the historical sample information, determining a plurality of value grades (cj) of the past website visitors and a respective plurality of rates of occurrence (P(cj)) for the plurality of value grades, wherein j=1, . . . , N, and N is an integer; determining a visitor characteristic probability (P(X)) and a plurality of conditional visitor characteristic probabilities given the plurality of value grades (P(X|cj)) associated with a current website visitor; and determining a plurality of conditional value grade probabilities given a visitor characteristic of the current website visitor ((P(c|X)) and selecting among the plurality of conditional value grade probabilities a likely value grade associated with the current website visitor, wherein j=1, . . . , N.

Abstract: A system and method to delete overload in a data stream are described. A method of an embodiment of the invention may analyze data quality information in a data stream and delete data items that are found to be of lower than a desired data quality. In one embodiment, data items may be evaluated according to maximize a particular aspect of the utility of the data in a data stream. In one embodiment, a system of an embodiment of the invention may evaluate data quality in a data stream to suggest one or more actions to be performed to improve the data quality in the data stream. Further, the system of the embodiment of the invention may evaluate each suggested action to determine how the suggested action may impact the data quality in the data stream if performed.

Abstract: A system for monitoring the health of a component includes a memory configured to store a health management system for evaluating the health of the component. The health management system includes a first prognostic module, a first diagnostic module, a first failure mode module, and a first functional module. A processor is coupled to the memory and configured to retrieve the health management system from the memory; receive a first prognostic indicator associated with the health of the component; determine a first predicted diagnostic indicator based on the prognostic indicator with the prognostic module; determine a first failure mode probability based on the first predicted diagnostic indicator with the diagnostic module; determine a first failure mode vector based on the first failure mode probability with the failure mode module; and generate a first functional output based on the first failure mode vector with the first functional mode module.

Abstract: Provided is a reliability evaluation method and apparatus to evaluate the reliability of map information. The apparatus includes an evaluation object value acquisition unit that acquires an evaluation object value from map information stored in a storage medium. A measurement value acquisition unit acquires measurement values for the evaluation object value using a sensor installed in a vehicle. After acquiring the measurement values, a reliability evaluation unit that selects a reliability evaluation method to evaluate the reliability of the evaluation object value based on a current measured value and the dispersion of the measured values.

Abstract: The present invention relates to methods and systems for the analysis of the dissociation behavior of nucleic acids and the identification of determining whether a genotype is present in a biological sample. The present invention includes methods and systems for determining whether a genotype is present in a biological sample, through generating a dynamic profile an unknown genotype, correlating the dynamic profile to an average profile for a known genotype to generate a correlation value, and determining whether the correlation value falls within an acceptable threshold to determine if the unknown genotype is the known genotype.

Abstract: One embodiment of the present disclosure relates to methods for assessing the biological effects of a test agent or test condition on a test sample by comparing one or more characteristics of the biomarkers of the test sample with that of one or more reference samples and assessing the biological effects of the test agent or test condition based on the biological effects of one or more reference agents or reference conditions on the one or more reference samples, as well as computer program products for executing such methods, computer readable storage media encoding such computer programs, and computer systems for performing such methods.

Abstract: A diagnostic system designed such that an aggregate of parameter combinations is stored, which is an aggregate of combinations of parameters consisting of a first parameter for determining the output of the high-frequency power source, a second parameter for determining the flow rate of the carrier gas in the aerosol, and a third parameter for determining the distance between the plasma torch and the interface, and which forms a specific array such that the measurement points corresponding to the respective combinations are lined up in order along the direction of length of an envelope that forms the end on the high-sensitivity side of a graph drawn as an aggregate of all measurement points on a sensitivity-oxide ion ratio graph, and a diagnostic measurement is performed with a specific diagnostic sample using the parameter value of each combination of the above-mentioned parameter combinations that form the aggregate such that the device properties can be confirmed from the position on the envelope on the se

Abstract: A state predicting apparatus collects internal information and usage information of an apparatus subjected for failure prediction determination, calculates a state index value using a regression model and the internal information of the apparatus, calculates a usage factor indicating a predicted remaining time period between a time when the state index value is calculated and a time when a failure is predicted to occur using the usage information of the apparatus, and calculates a failure risk based on the state index value and the usage factor.

Abstract: Embodiments for calling variations in a sample polynucleotide sequence compared to a reference polynucleotide sequence are provided. Aspects of the embodiments include executing an application on at least one computer that locates local areas in the reference polynucleotide sequence where a likelihood exists that one or more bases of the sample polynucleotide sequence are changed from corresponding bases in the reference polynucleotide sequence, where the likelihood is determined at least in part based on mapped mated reads of the sample polynucleotide sequence; generating at least one sequence hypothesis for each of the local areas, and optimizing the at least one sequence hypothesis for at least a portion of the local areas to find one or more optimized sequence hypotheses of high probability for the local areas; and analyzing the optimized sequence hypotheses to identify a series of variation calls in the sample polynucleotide sequence.

Abstract: A control unit 5 calculates, by a statistical processing, the current front/rear-directional acceleration, the current front/rear-directional velocity, and the current front/rear-directional position of the three-dimensional object to be determined while considering an error caused by a camera. These values are used in the statistical processing so as to calculate the front/rear-directional acceleration after ?t seconds, the front/rear-directional velocity after ?t seconds, and the front/rear-directional position after ?t seconds, and so as to obtain a probability of contact after ?t seconds based on the front/rear-directional position after ?t seconds.

Abstract: One embodiment provides a system that analyzes a target electromagnetic signal radiating from a monitored system. During operation, the system monitors the target electromagnetic signal using a set of antennas to obtain a set of received target electromagnetic signals from the monitored system. Next, the system calculates a weighted mean of the received target electromagnetic signals using a first pattern-recognition model. The system then subtracts the received target electromagnetic signals from the weighted mean of the received target electromagnetic signals to obtain a set of noise-reduced signals for the monitored system. Finally, the system assesses the integrity of the monitored system by analyzing the noise-reduced signals using a second pattern-recognition model.

Abstract: The embodiments of the invention disclose a method for a probabalistical determination of a time interval between events, wherein the events periodically disturb a signal. The method determines, as a function of time, probabilities of occurrences of the events based on values of the signal, wherein the signal is Jittered, and determines, based on the probabilities of the occurrences of the events, probabilities of correspondence of a set of possible time intervals to the time interval between the events producing a set of probabilities of the possible time intervals suitable for determining the time interval between the events.

Abstract: A diagnostics system comprising a topological map of a target system that has nodes (38, 40, 42, 44, 46, 48) that correspond to components (29, 30, 32, 34, 36) of the target system and links that correspond to connections between the components. Associated with the topological map is a knowledge store (50) that has a structure that reflects or corresponds to that of the topological map. Included in this store (50) is a plurality of sections or libraries each of which is provided for storing design specific data associated with one of the nodes (38, 40, 42, 44, 46, 48) of the topological map. Data received from one or more sensors on the target system is included in the topological map, and used together with the design specific information in the knowledge store to diagnose faults.

Abstract: The invention relates to an imaging method with synthetic aperture for determining an incident angle and/or a distance of a sensor from at least one object in space, wherein at each of a number of aperture points one echo profile is sensed. Advantageously, for several angles assumed as the incident angle, one phase correction value and/or one distance correction value is calculated, adapted profiles are generated based on the echo profiles by adapting the phase with the phase correction value for each assumed angle and/or by shifting the distance with the distance correction value, for the assumed angle, the adapted profiles are summed or integrated, and a probability distribution is derived, and a probability value for the incident angle and/or for the distance is determined therefrom. A determination of the incident angle is also possible independently of the distance, wherein it is possible to only consider velocities or accelerations.

Abstract: In a particular embodiment, a method is disclosed that estimates a total static noise margin of a bit cell of a memory. The method includes determining a correlation coefficient of a left static noise margin of the bit cell as compared to a right static noise margin of the bit cell and estimating a total static noise margin of the bit cell by evaluating an analytical function based on the correlation coefficient.

Abstract: A system for screening nucleotide sequences, a method therefor, a program, a recording medium, and a server on which the screening of nucleotide sequences is executed. The solution comprises a step of storing target nucleotide sequence data and a probe nucleotide sequence, a step of generating complementary sequence data from a probe nucleotide sequence that may be bound to the target nucleotide sequence, and storing a maximum acceptable edit distance between the target nucleotide sequence and the probe nucleotide sequence, a step of reading out each nucleotide sequence data and the maximum edit distance from each storing unit, and evaluating the binding possibility of the target nucleotide sequence data and the complementary sequence data in descending order of edit distance, and a step of storing the result of the binding evaluation in a storage unit.

Abstract: Robust methods are developed to provide bounds and probability distributions for the locations of objects as well as for associated variables that affect the accuracy of the location such as the positions of stations, the measurements, and errors in the speed of signal propagation. Realistic prior probability distributions of pertinent variables are permitted for the locations of stations, the speed of signal propagation, and errors in measurements. Bounds and probability distributions can be obtained without making any assumption of linearity. The sequential methods used for location are applicable in other applications in which a function of the probability distribution is desired for variables that are related to measurements.

Abstract: A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line within a second data space having fewer dimensions than the first data space, performing a univariate analysis to represent the operation of the process as a multivariate projection of the on-l

Abstract: Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.

Abstract: A computer implemented method is provided for clustering and visualization of an n-dimensional space in a Euclidean space. The method includes: collecting a plurality of multi-dimensional data sets; estimating a probability density function from each data set; approximating a dissimilarity between every pair of said probability density functions and recording every dissimilarity in a dissimilarity matrix; embedding the dissimilarity matrix into a Euclidean space having a dimensionality of three or less using a multi-dimensional scaling method; and graphically displaying relationships between data sets using data in the Euclidean space on a display of a computing device.

Abstract: A multidimensional sensor data analyzer that includes: discretizing values in multidimensional sensor data at index locations in value surfaces that reside in a multidimensional value space; deriving surface components resulting from the intersection of a geometric beam shape function that describing the sensor beam with the value surfaces; determining minimum-maximum index location limits for the surface components; determining surface component index points by identifying the index locations that are located within the minimum-maximum index location limits for the surface components; and generating a beam value by performing a beam function using the values at the surface component index points.

Abstract: Classes of web graph algorithms are extended to run directly on virtual node-type compressed web graphs where a reduction in runtime of the extended algorithms is realized which is approximately proportional to the compression ratio applied to the original (i.e., uncompressed) graph. In the virtual node compression technique, a succinct representation of a web graph is constructed by replacing dense subgraphs by sparse ones so that the resulting compressed graph has significantly fewer edges and a relatively small number of additional nodes.

Abstract: A method and apparatus for estimating velocity in a subsurface region. Seismic data for a subsurface region may be received. One or more attributes for the seismic data may be calculated. A posterior distribution may be generated. The posterior distribution may represent one or more probabilities of one or more velocities for the attributes. A velocity with uncertainty may be determined for the subsurface region based on the posterior distribution. A pore pressure with uncertainty may be determined based on the velocity with uncertainty.

Abstract: Route planning methods for use by a package delivery service provider are disclosed that satisfy a stochastic daily demand while taking advantage of drivers' route familiarity over time. A model for estimating the value of driver familiarity is disclosed along with both an empirical and a mathematical model for estimating the value of route consistency, along with a Core Area Route Design which involves the concepts of combinatorial optimization, meta-heuristic algorithms, tabu search heuristics, network formulation modeling, and multi-stage graph modeling. In one embodiment, a service territory is divided into unassigned cells associated with a grid segment involving prior driver delivery stops, and a driver from a pool of unassigned drivers is assigned to a route based on examining each driver's grid segment visiting frequency limit with respect to a minimum limit so as to optimize driver selection based on of each driver's familiarity with the route.

Abstract: A computer system to predict a value of a signal from a sensor schedule loads across a set of processor cores is described. During operation, the computer system generates N models to predict the value of the signal based on a set of quantized telemetry signals, where a given model produces a value of the signal using a subset of the set of quantized telemetry signals, and where the subset is selected from the set of quantized telemetry signals based on an objective criterion. Next, the computer system predicts the value of the signal by aggregating the values produced by the N models.

Abstract: One embodiment provides a system that analyzes telemetry data from a monitored system. During operation, the system periodically obtains the telemetry data as a set of telemetry variables from the monitored system and updates a multidimensional real-time distribution of the telemetry data using the obtained telemetry variables. Next, the system analyzes a statistical deviation of the multidimensional real-time distribution from a multidimensional reference distribution for the monitored system using a multivariate sequential probability ratio test (SPRT) and assesses the integrity of the monitored system based on the statistical deviation of the multidimensional real-time distribution. If the assessed integrity falls below a threshold, the system determines a fault in the monitored system corresponding to a source of the statistical deviation.

Abstract: In a method and a testing device for testing a traffic-control system, a traffic situation is simulated and traffic simulation data are generated on the basis of control data of the traffic-control system. The data are transmitted to the traffic-control system as input data. At the same time behavior probability distributions of traffic participants are ascertained based on at least part of the control data and the simulation of the traffic situation takes place using the behavior probability distributions.

Abstract: Methods and systems are provided for the deconvolution of the NMR spectrum of a mixture into individual components and spin systems by combining covariance total correlation spectroscopy (TOCSY) spectra with covariance NMR. The method may include obtaining a 2D TOCSY spectra of a chemical mixture and then performing a series of analytical steps to identify the individual components of the mixture.

Abstract: Techniques for determining an equilibrium structure of a protein in a predetermined environment, the protein having Ramachandran angles and a known denatured structure, are disclosed. In a preferred embodiment, a method is presented which involves determining a maximum RMS volume of the known denatured structure of the protein and calculating at least one force on the protein in its current structure in the predetermined environment. The net torque resulting from the at least one force for each of the Ramachandran angles of the protein is then determined. Then at least one section of the protein structure on a side of a Ramachandran angle with greatest torque is rotated to form a new structure. A new RMS volume for the new structure is then calculated, and the method is repeated using the new structure. The method ceases when the new RMS volume of the new protein structure is not less than the RMS volume of the starting structure.

Abstract: There is provided a system and method for estimating a parameter that represents data describing a physical system. An exemplary method comprises randomizing data representative of a population of items for which the parameter is known. The method may additionally comprise generating data representative of a pseudo population of items using a known perturbation, the data representative of the pseudo population of items being included with the data representative of the population of items for which the parameter is known to form a revised population and selecting a bootstrap sample of a minimum sample size of the revised population. A sensitivity study is performed on the parameters of the items comprising the bootstrap sample to determine a level of change of a predicted parameter value relative to a parameter value of the sample.

Abstract: A method that involves matching the trend of process outcome with the trend of process variables to identify the variables that have an impact on the process outcome is disclosed. The method for process trend matching comprises processing of raw data of process outcome and of process variables using an outlier filtering method, smoothing these data using common smoothing algorithm like Kernel, dividing smoothed raw data equally into time intervals, computing the gradients of the points at both ends of the time intervals, and translating the gradients into a scale based on the magnitude of the gradients. The following steps comprise comparing the process outcome and each process variable independently for same time frame, and assigning a score for both outcome and variable. The sum of the scores is then computed which is used to determine the quality of fit. A real-time monitoring system is then set up to monitor these variables for any drifts.

Abstract: A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range.

Abstract: Technologies for generating a boosted tag ranking for a media instance, the boosted tag ranking based on probabilistic relevance estimation and tag correlation refining. Such boosted tag rankings may be used for search result ranking, tag recommendation, and group recommendation.

Abstract: A simulation system for predicting a likelihood of whether a target object positioned in an environment will be detected by a detection system when illuminated by a laser source. The simulation system may be used for a laser rangefinder application and a laser designator application. The simulation system may provide a detection probability of the target object at a specified range to the detection system or a plurality of detection probabilities as a function of the range to the detection system. The simulation system may provide an indication of an overlap of the beam provided by the laser source on the target object. The simulation system may determine the effect of vibration on the detection of the target object at a specified range.

Abstract: An ion radiation damage prediction method includes a parameter computation step of computing the collision position and the incidence angle of an incident ion hitting a fabricated object by considering a transport path of the ion and by adopting the Monte Carlo method which takes distributions of flux quantities, incidence energies and angles of incident ions as input parameters; and a defect-distribution computation step of searching for data by referring to information found at the parameter computation step and databases created in advance, the databases storing distributions of quantities of crystalline defects having an effect on the fabricated object, ion reflection probabilities and ion penetration depths, finding the penetration depth and location of the incident ion based on the data found in the search operation, and the incidence energy and angle of the incident ion, and computing a distribution of defects in the fabricated object from the penetration depth and location.

Abstract: A method of statistical analysis is based on an accelerated degradation model for estimating the failure rate from a set of accelerated life data (e.g. stress, humidity, temperature, voltage, resistance, vibration, etc.). The method re-samples randomly distributed data and organizes it into subsets that may be ordered. The maximum is found for each subset. From the maximums a parametric LEV distribution is determined. Maximum Likelihood Estimation methods may be used to find the parameters employed in the determined LEV distribution. The failure rate is calculated using the determined LEV distribution of the sample maximums.

Abstract: An integrity management system predicts abnormalities in complex systems before they occur based upon the prior history of abnormalities within the complex system. A topology of the nodes of a complex system is generated and data is collected from the system based on predetermined metrics. In combination with dynamic thresholding, fingerprints of the relevant nodes within a complex system at various time intervals prior to the occurrence of the abnormality are captured and weighted. The fingerprints can then be applied to real-time data provide alerts of potential abnormality prior to their actual occurrence.

Abstract: A system to predict a fatigue life of an aluminum alloy is disclosed herein. The system comprises a computer-readable medium cooperative with micromechanics-based fatigue life models for cyclic multiaxial loading. The fatigue life models predict the fatigue life by processing information received by the system relating to the aluminum alloy and the stress state present in the aluminum alloy. The received information comprises at least one of: a critical shear plane, a damage factor, a hardening factor defined by at least one of a plurality of uniaxial cyclic hardening factor parameters related to probabilistics of defects and microstructure characteristics in the aluminum alloy, an additional hardening factor related to non-proportionality, and thermophysical and mechanical properties of the aluminum alloy.

Abstract: According to typical inventive practice, a baseline describing a statistical distribution is established for a set of historical occurrences of an event. Comparison is made between the baseline and at least one current occurrence of the same event. Any current occurrence that is anomalous vis-à-vis the baseline is considered a possible leading indicator. According to some inventive embodiments of graphical presentation of such comparison, at least one graphical baseline comparative display component is rendered that includes a “bar” (describing a historical statistical distribution with respect to a criterion pertaining to occurrence of an event) and a “slider” (describing one or more current occurrences of the event). The bar includes at least one band representing a statistical mean range, and at least one band representing a statistical outlier range. Situation of the slider along the bar indicates whether and to what extent the current occurrence(s) is/are anomalous vis-à-vis the baseline.

Abstract: A method and system for providing repeatable GPS performance testing of a communication device are provided. Navigation data is complied over a drive route. The navigation data is used as an input to a GPS simulator to duplicate in a laboratory setting the GPS signals present at the GPS receiver during a travel along the drive route. Performance data of a baseline unit can be obtained for benchmarking the performance of a communication device being tested. A device under test can also be exposed to simulated GPS signals and to both simulated GPS signals and other radio frequency signals, such as telephone network signals present along the drive route.

Abstract: Application health is determined by calculating baseline deviation for one or more transactions based on past data having the same context as current data being examined. The performance data is generated in response to monitoring one or more applications that perform transactions during a time period. The performance data may include transaction metric data and the context data describing conditions under which one or more transactions were performed. A baseline is determined by predicting current or recent transaction performance data values using past transaction performance data associated with the same context. Based on the comparison of the actual and predicted data with the same or similar context, a deviation from the baseline value is determined for the transaction and reported, for example to a user through an interface.

Abstract: Techniques for statistical formal activity analysis with consideration of temporal and/or spatial correlations are described herein. According to one embodiment, a sequential circuit having a feedback loop is unrolled into multiple unrolled circuits, where the sequential circuit is represented by a finite state machine (FSM). A temporal correlation is introduced to each of the unrolled circuits via a correlation network for an activity analysis of the sequential circuit. The temporal correlation represents a dependency relationship between a current logic state of a signal and a previous logic state of the signal. Other methods and apparatuses are also described.

Abstract: Methods for the determination of a copy number of a target genomic sequence; either a target gene or genomic sequence of interest, in a biological sample are described. Various methods utilize a model drawn from a probability density function (PDF) for the assignment of a copy number of a target genomic sequence in a biological sample. Additionally, the methods provide for the determination of a confidence value for a copy number assigned to a sample based on attributes of the sample data. Accordingly, the various methods for the determination of a copy number provide the end user with significant information for the evaluation of a copy number of a target genomic sequence; either a gene or genomic sequence of interest.

Abstract: A method for performing conditional maximum entropy modeling includes constructing a conditional maximum entropy model, and incorporating an observation confidence score into the model to reduce an effect due to an uncertain observation.