Abstract: A method for improving stacking schema for classification tasks, according to which predictive models are built, based on stacked-generalization meta-classifiers. Classifications are combined to build a new scheme from at least two layers and multiclass classification problems are converted into binary classification problems. One-against-all class binarization and regression learners are used for each class model and ensemble classifiers are improved using stacking. Accuracy differences, accuracy ratio, and runtime classification in multiclass datasets are also improved and the class of a value is then predicted.

Abstract: A statistical processing system to predict end of life status in current patients of a given population. The processing system includes a server configured with programming instructions implementing a plurality of statistical models to predict a health status or outcome for the highest risk of death based on proprietary factors and the patient being administered no further therapeutic treatment.

Abstract: A computer implemented method used to interpret text, including from a set of formal glossaries which may refer one to the other and are intended to define precisely the terminology of a field of endeavor. Such glossaries are known as intelligent, in the sense that they allow machines to make deductions, without the need for human intervention. However, they may also accept human intervention. Once a word is defined in an intelligent glossary, all the logical consequences of the use of that word in a formal and well-formed sentence are computable. The process includes a question and answer mechanism, which applies the definitions contained in the intelligent glossaries to a given formal sentence. The methods may be applied in the development of knowledge management methods and tools that are based on semantics; for example: modeling of essential knowledge in the field based on the relevant semantics.

Abstract: The invention relates to a method for performing acid fracturing operations of an oilfield. The method includes obtaining a plurality of historical data of acid fracturing treatments of the oilfield, generating a neural network based on the plurality of historical data, identifying a stimulation parameter, in the neural network, associated with optimal performance of the acid fracturing treatments, and establishing a best practice procedure for performing the acid fracturing operations based on the stimulation parameter.

Abstract: The present invention relates generally to methods of modeling and handling of nonlinearities for application of automatic control to systems with high inter-process variance and nonlinearities. The variance and nonlinearities make these systems difficult to control. Variance is accounted for by replacing the mathematical model of the system with a more representative model from a modelset that may or may not be chosen based on characteristics of the system under test, and then adapting using recursive estimation techniques. Nonlinearities defined by threshold to response and maximal responses are incorporated into linear models relating accumulated inputs to response. Example implementations in relation to automated drug delivery for neuromuscular blocking drugs through warning, advisory and closed-loop control systems are discussed.

Abstract: A method of predicting information related to a path of a weather phenomenon includes obtaining a plurality of tracks corresponding to the weather phenomenon from at least one source. A factor is assigned to each of the plurality of tracks. A set of probabilities for the weather phenomenon to intersect a plurality of segments corresponding to a boundary is determined using at least intersection points of the plurality of tracks with the boundary and the factor assigned to each of the plurality of tracks.

Abstract: A multi-class sampling component (MCSC) is described for selecting samples associated with two or more sampling classes to produce output information. The overall set of samples in the output information exhibits a desirable Poisson distribution. Further, each subset of samples associated with each respective class exhibits a Poisson distribution. The MCSC selects samples based on intra-class radius information (describing the minimum allowed distances between same-class samples) and inter-class radius information (describing the minimum allowed distances between different-class samples). The MCSC can be applied to different applications, such as an object placement application, a color stippling application, a sensor design application, and so on.

Abstract: The litigation cost management system (FIG. 1) provides modules for outlining the process of litigation (12), establishing pricing variables to each step of the litigation (14), all at the outset of the case. A case budget (16) is then generated and the case is managed by outside counsel based upon the agreed upon budget and process. When exceptions occur during the course of litigation, outside counsel electronically submits requests for new work to corporate counsel, which in turn can be approved or denied. Point and click billing allows immediate simplistic invoicing which requires no review by corporate counsel as the work performed has already been approved. Statistical reporting provides corporate counsel with real time analysis of all the cases that are in the system.

Abstract: Measurement-only topological quantum computation using both projective and interferometrical measurement of topological charge is described. Various issues that would arise when realizing it in fractional quantum Hall systems are discussed.

Abstract: A computer system is disclosed herein that surveys numerous legal documents which memorialize business or legal transactions and then determines common provisions in such documents. The forms of these “core provisions” are then stored in a knowledge base of the system. The system then allows attorney users to apply the system to analyze unsurveyed documents and use the knowledge base to recognize the core provisions that are most similar to the text of these unsurveyed documents. The user can then edit these unsurveyed documents in a rapid accurate fashion by automated means to revise text to match these core provisions. Document editing functionality is also present, along with means to use correlations to determine the likelihood of the presence/absence of specific provisions and the presence/absence of various particular documents in groups of documents used to memorialize certain types of transactions.

Abstract: A method, computer program product, and system for variant string matching. A computer implemented method for variant string matching may comprise comparing with a computing device two unidentical strings in a training variant string pair. The two unidentical strings may represent the same item from training data, which may be stored in a memory. The two unidentical strings may be compared to determine if they include an identical substring pair, and a first unidentical substring pair. The computer implemented method may also determine if the first unidentical substring pair includes a first unidentical substring and a second unidentical substring. The computer implemented method may further determine if the first unidentical substring pair is in the training data. The first unidentical substring pair may be entered into the training data as a first variant string pair if it is not in the training data.

Abstract: A method of providing information related to a weather phenomenon includes obtaining a plurality of model tracks corresponding to a weather phenomenon from at least one forecast center. A probabilistic description of one or more characteristics of the weather phenomenon is determined based on a statistical analysis of the model tracks corresponding to the weather phenomenon. An electronic representation of the probabilistic description is provided.

Abstract: Ideas, groups of ideas, projects, documents, and related materials may be depicted, organized, modified, and shared according to Idea Page systems, methods, and user interfaces. Published workflow templates may additionally be copied into a user context, modified, and depicted in a multi-level visual space, including first-level ideas organized and visually arranged in a first-level idea page, and second-level ideas organized and visually arranged in a second-level idea page.

Abstract: A system and method is disclosed which integrates a machine learning solution into a large scale, distributed transaction processing system using a supporting architecture comprising a combination of computer hardware and software. Methods of using a system comprising such supporting architecture provide application designers access to the functionality included in a machine learning solution, but might also provide additional functionality not supported by the machine learning solution itself.

Abstract: The present disclosure includes methods, devices, and systems for inferring system-level properties. One or more embodiments include generating a constraint model based on a system model having a number of components at different levels of abstraction and on a number of verified component properties. The constraint model can include a number of mission constraints modeling one or more mission requirements, a number of system constraints modeling one or more system-level properties, mid a number of component constraints modeling one or more component properties. One or more embodiments can include analyzing the constraint model with a constraint solver to determine whether one or more particular system-level properties can be inferred from the constraint model.

Abstract: The system contains an output device in communication with the programmable device. The output device produces output information from the programmable device to the individual. An input device is in communication with the programmable device. The individual communicates a responsive act to the programmable device through the input device. The responsive act will include at least one psychomotor behavioral element. A processor integral with the programmable device determines the preferred modalities of the individual based, at least partially, on the psychomotor behavioral element of the responsive act from the individual. The processor also determines a preferred combination of modalities and an ordering of modalities by preference thereby further defining a focus of the individual's attention. The combination and order of modalities is calculated by an equation: ?????((?Gi(?xi/?lt))/(?Gi(dxi/dti)))dGidti??(G).

Abstract: An analog processor, for example a quantum processor may include a plurality of elongated qubits that are disposed with respect to one another such that each qubit may selectively be directly coupled to each of the other qubits via a single coupling device. Such may provide a fully interconnected topology.

Abstract: Measuring, controlling, and automating inventory of product stored in a collapsible tank. An interface device can interact with a sensor installed at the collapsible tank and a metering device, such as a flow meter, to generate a strap table for the collapsible tank. The strap table can include entries that correlate a process value measured by the sensor to a volume of product corresponding to that process value. Current volume of product stored in the collapsible tank can be determined by comparing a current process value to entries in the strap table or by an interpolation process. The interface device can generate an updated strap table based on a relaxation curve to account for settling of the collapsible tank. The interface device can synchronize data with a host device, such as a personal computer or handheld computer, that includes software for tracking inventory in collapsible tanks.

Abstract: The present invention is directed to a computer automated method of selectively identifying a user specified behavior of a crowd. The method comprises receiving video data but can also include audio data and sensor data. The video data contains images a crowd. The video data is processed to extract hierarchical human and crowd features. The detected crowd features are processed to detect a selectable crowd behavior. The selected crowd behavior detected is specified by a configurable behavior rule. Human detection is provided by a hybrid human detector algorithm which can include Adaboost or convolutional neural network. Crowd features are detected using textual analysis techniques. The configurable crowd behavior for detection can be defined by crowd behavioral language.

Abstract: A complex solver that is able to solve a diverse variety of model analytics. Upon identifying the various input variable(s) and output variable(s) of the model variables, if a straight forward solve is not to be performed, it is determined whether the model analytics is to be inverted such that a forward solve can be performed. For instance, it might not be known generally, or at least to the solver, how to invert a particular equation of other model analytics. If the model analytics is to be inverted, the model analytics is inverted, and the forward solve is performed. On the other hand, if the inversion of the model analytics is not to be performed, then a numerical analysis solve is performed.

Abstract: A method of estimating a salt contamination is provided. The method includes preparing salt contamination data measured at a plurality of areas, preparing geographical factor data of areas for estimating, preparing rainfall amount data near the areas, setting a correlation expression having the geographical factor and the rainfall amount as variables, and estimating salt contamination of the areas for estimating according to the rainfall amount.

Abstract: A system for performing multi-dimensional quantum search, quantum computation, quantum memory, quantum storage, and quantum retrieval includes a structure and method for: enabling components and systems for quantum search, and more particularly to improved local and remote quantum computing and search components and systems; quantum memory component and systems; quantum storage components and systems; quantum retrieval components and systems; quantum logic gates; classical (non-quantum) search components and systems; integrated quantum-classical search components and systems; and integrated quantum-classical cryptosystems.

Abstract: A process, system and computer software are rovided to facilitate at least one recommendation to one or more users (420) and/or one or more applications (430) using multidimensional data (410). In particular, the multidimensional data (410) which define a multidimensional space (400) is accessed. The multidimensional space (400) can have more than two dimensions, each capable of providing variable information. Then, information from the multidimensional space is retrieved. Further, the recommendation is generated based on the retrieved information. In addition, it is possible to generate a recommendation-specific query (440). This can be performed by generating the recommendation-specific query (440) to access a multidimensional cube and retrieve data stored therein. Then, the recommendation can be issued based on the data retrieved from the multidimensional cube.

Abstract: In a method for displaying messages, a system displays messages from a single user account in multiple viewports. Each viewport orders messages based on an importance score that is calculated based on the user's prior interactions with messages in his user account through that viewport. Each viewport associated with the user account orders messages using a distinct message importance model.

Abstract: A method of organizing received decision instances based on reference architecture, including determining a respective particular project phase attribute for each of the decision instances, classifying the decision instances, determining a respective scope attribute for each of the decision instances, categorizing the decision instances in accordance with each of the respective scope attributes thereof, for all decision instances with the same categorization and with the same classification, ordering the corresponding decision instances by model elements, modeling directed links between apparently dependent decision instances, analyzing the dependent decision instances to confirm that the decision instances satisfy the apparent dependencies represented by the directed links and producing an error message if a result of the analysis is negative, and generating a real-time updateable and/or modifiable to-do list interface.

Abstract: A system is provided with a conversation support means. A conversation support means creates a conversation response, and outputs it in a sound, a character, etc. A conversation response is created in a manner that combines words by inserting a reference keyword as a leading keyword in the response sentence model prepared separately. A conversation support means retrieves the reference keyword beforehand provided in conversation support by dictionary collation from the conversation entry content made by a sound, a manual entry, etc. by a user. Furthermore, the retrieved reference keyword themselves or another reference keyword associated with the retrieved reference keyword are handled as a leading keyword. A series of user conversation contents inputted by the conversation support are accumulated as a base data for determining a user interest. The base data is analyzed to determine a user interest for providing suitable information service.

Abstract: A system and method of navigating modeling of a building, including: receiving nonparametric user input building design data, organizing the nonparametric user input building design data, and globally editing the non-parametric data element in multiple objects within a building design.

Abstract: Methods and apparatus are provided for analyzing user activity and for recording such user activity in an entity relationship model. A network is searched for materials associated with a user and content analysis techniques are performed on the associated materials to extract one or more characteristics from the associated materials based on predefined criteria. The extracted information is stored in an entity relationship model that relates the user to the extracted characteristics. The characteristics may include activity information, expertise information and location information. The entity relationship model can thereafter be searched to identify and optionally contact one or more users having desired characteristics.

Abstract: A method and device for performing a constraint failure analysis on an instance model. The present invention provides a convenient tool to bridge between a model-constraint designer and a model user, reduce load for model/constraint usability, simplify the learning curve, and assist to make a model correction for the model user.

Abstract: A situational decision engine (SDE) operates within a mobile device or server to present a user with display content specifically optimized to the user's present situation. By acquiring characteristics about the user's present situation, the SDE is capable of analyzing the general state of the user and make decisions about presenting information with situational relevance. With the SDE, promoters and marketing firms may target user incentives and present the incentives based on a correlation of incentive features and the users context. After acquiring key characteristics of a user's context, the SDE analyzes and determines an optimal correlation to available incentives. By optimizing the matching of a promotion, an ad, or a survey to the user's situation, maximum benefit to both user and the promoter may be realized. By analyzing a user's context and presenting display content accordingly, the SDE is able to optimize the user's experience.

Abstract: A method and system for detecting a spam over internet telephony (SPIT) is disclosed. Incoming call requests are received and analyzed using heuristic algorithms. A runtime action is provided based on the analysis using the heuristic algorithms. The heuristic algorithms include zero-touch heuristic algorithms that require no human intervention, one-touch heuristic algorithms that require human intervention one time, and multi-touch heuristic algorithms that require human intervention more than one time. Cumulative probability is calculated for each incoming call request, and the incoming call request is classified as a spam if the cumulative probability exceeds a threshold.

Abstract: A method, software and system of developing personalities for interactive and/or automated call center applications are provided. According to teachings of the present invention, sample population questionnaires and interviews may be used to identify key personality traits. The impact of the identified key personality traits are then empirically determined. Based on the empirical determination of the key personality traits' impact on customer satisfaction, a plurality of personality profiles may be generated for evaluation. A plurality of application types and voice talents may then be employed to evaluate the impact of each personality profile on customer satisfaction, for different user populations and different types of automated systems. The personality traits for each automated system are preferably rated and reviewed to ensure a system accurately represents the identified key personality traits.

Abstract: A method for identifying conflicting and duplicate rules in a decision support system is provided. The method includes establishing a first subsystem including a protocol of existing rules, each existing rule includes an input feature. The method also includes creating a new rule that includes an input feature, and comparing terminology in the input feature of the new rule against terminology in the input feature of each existing rule of the protocol using a second subsystem and determining whether the new rule and at least one existing rule from the protocol are similar.

Abstract: The present invention is a system and method for generating predictions for various parameters in a reservoir. The invention includes receiving input data characterizing the reservoir and determining transient areas. The transient areas are determined by receiving data from the reservoir, transforming the data using discrete wavelet transformation to produce transformed data, removing outliers from the transformed data, identifying and reducing noise from in the transformed data and then detecting transient areas in the transformed data. A computer model is produced in response to the transient data and predictions for parameters in the reservoir are determined. These predictions are verified by comparing predictive values with a reservoir model and then the predictions for the various parameters can be used.

Abstract: A system and method for performing discovery of digital information in a subject area is provided. Each of topics in a subject area, training material for the topics, and a corpus comprising digital information are designated. Topic models for each of the topics are built. The topic models are evaluated against the training material. The digital information from the corpus is organized by the topics using the topic models into an evergreen index.

Abstract: A method of predicting information related to a characteristic of a tropical cyclone includes obtaining a plurality of model tracks corresponding to the tropical cyclone from at least one forecast center. A factor from a set of factors is assigned to each of the plurality of model tracks. A value for at least one characteristic for the tropical cyclone at the intersection of each of the plurality of model tracks with a boundary is predicted. A set of probabilities for the value of the at least one characteristic corresponding to an actual value of the at least one characteristic at the time of intersection of the tropical cyclone with the boundary is calculated.

Abstract: System for simulating events in a real environment containing static objects and dynamic objects: a) position locating unit for continuously determining the real environment the position of the dynamic objects in relation to the static objects within a time period in which the even takes place; b) storage elements for storing data describing the dynamic and static objects of the environment; c) processing elements for processing (b1) data from the storage elements describing the static and dynamic objects (b2) data from the position locating unit indicating at a certain moment the mutual positions of the static and dynamic objects of the environment, the processing elements being loaded with simulation software; d) display elements for displaying a simulated view from a selected viewpoint on the simulated environment as a result of the processing by the processing elements; e) control elements to repeat the functioning of the processing and display elements for a range of consecutive time moments which togeth

Abstract: An information system based on time, space and relevance is provided. The system comprises a client that displays information in a user-friendly manner and is located in a domestic environment; a proxy that handles the collection and parsing of data; a server that gathers usage data from the client; a database data mining cluster that allows for user profiling and time, space and relevance analysis; a set of information channels, which are periodically updated, and upon which automatic suggestions are given based on a user profile.

Abstract: Insulin pump programming software is disclosed that generates thumbnail images of basal rate profile data contained in source files and displays the images to permit an operator to select the desired profile data without opening the source files. The software also permits the operator to verify changes to pump profiles before programming the pump by displaying thumbnail images of the current pump profile and the new pump profile.

Abstract: An assessment of a request for change is made by first receiving the request for change. The request for change is compared with a plurality of stored requests for change that are stored in a change database. Then, a computation is made, using learned similarity functions, of a similarity value for each of the stored requests for change with respect to the received request for change. Feedback is received with respect to the similarity values. A training set of data is updated based on the received feedback. The updated training set of data is applied to a learning process, to obtain learned similarity functions. The similarity calculator is updated with the learned similarity functions. The similarity functions can be used to evaluate the risk of changes by looking at the impact of similar past changes.

Abstract: Methods for clustering of multi-dimensional data allow unsupervised grouping of multi-dimensional data points into clusters having like characteristics. The methods may be usefully applied to extracellular action potentials (neuronal spikes) measured from the brain, whereby spike data may be grouped in accordance with dimensions such as spike period, spike shape, etc., to assist in identification and location of individual neurons and/or regions of the brain.

Abstract: Avatars, methods, apparatuses, computer program products, devices and systems are described that carry out identifying a member of a population cohort; and inducing at least one behavior in the member of the population cohort based on an association between the population cohort and at least one cohort-linked avatar.

Abstract: A control systems and methods are presented for controlling a production system, in which a model-based planner includes a formulation, such as a SAT formulation representing possible actions in the production, with a solver being used to provide a solution to the formulation based at least partially on production and diagnostic goals and the current plant condition, and a translation component translates the solution into a plan for execution in the plant.

Abstract: An embodiment of the present invention relates to a method comprising identifying a suspect; determining that the suspect has moved a first distance in a target zone around a target during a first time period; determining a suspect-target distance between the suspect and the target; determining a suspect-potential destination distance between the suspect and a potential destination in the target zone for the suspect; determining that the suspect has moved a second distance in the target zone during a second time period; determining a suspect zone around the suspect; determining a movement characteristic index associated with the suspect zone when the suspect has moved the second distance, and determining, by a computer, a probability of hostility of the suspect, wherein the probability of hostility is obtained from the movement characteristic index and a ratio of the suspect-target distance and the suspect-potential destination distance.

Abstract: A plurality of chronic sensors are used to facilitate diagnosis and medical decision making for an individual patient. An expert system evaluates the sensor data, combines the sensor data with stored probability data and provides an output signal for notification or medical intervention.

Abstract: An importance system calculates the importance of pages using a conditional Markov random walk model rather than a conventional Markov random walk model. The importance system calculates the importance of pages factoring in the importance of sites that contain those pages. The importance system may factor in the importance of sites based on the strength of the correlation of the importance of a page to the importance of a site. The strength of the correlation may be based upon the depth of the page within the site. The importance system may iteratively calculate the importance of the pages using “conditional” transition probabilities. During each iteration, the importance system may recalculate the conditional transition probabilities based on the importance of sites that are derived from the recalculated importance of pages during the iteration.

Abstract: Disclosed is a medical outcome prediction tool that predicts an individual patient's medical outcomes by identifying patients having a same disease; selecting a set of characteristics unique to an individual; determining the similarities between the individual and other cases; and calculating the expected outcome for the individual that is proportional to a weighted sum of outcomes of similar cases. The similarities can be determined by calculating the number of matches between the individual and cases over the set of characteristics, and using that result to determine a similarity score.

Abstract: One embodiment of the present invention provides a method for incrementally maintaining a Bernoulli sample S with sampling rate q over a multiset R in the presence of update, delete, and insert transactions. The method includes processing items inserted into R using Bernoulli sampling and augmenting S with tracking counters during this processing. Items deleted from R are processed by using the tracking counters and by removing newly deleted items from S using a calculated probability while maintaining a degree of uniformity in S.

Abstract: An apparatus comprises a content item receiver which receives a content item such as a digital photo or an audio or video clip. A user preference model generates data indicative of user preferences for content item access. An access rule processor determines a set of self-governance rules for the first content item in response to the user preference model. The self-governance rules are indicative of allowable actions for the first content item in other devices. A file processor includes the set of self-governance rules with the content item and a network interface transmits the content item to a second apparatus . The second apparatus comprises functionality for restricting access to the content item in accordance with the set of self-governance rules. The invention may provide improved access rights management and in particular for personal content items.

Abstract: An apparatus is provided for monitoring and controlling a device under test, the device under test comprising a plurality of registers, each register having a register value and comprising a plurality of data bits for controlling a setting or settings of the device under test. The apparatus comprises display means for displaying an interactive register map to a user. The interactive register map is configured to display a plurality of register values simultaneously, and further adapted to display one or more data fields corresponding to each register value, each data field relating to one or more of the data bits and having a first indicator for representing a corresponding device setting. In this manner, a user can readily appreciate which device settings are controlled by the same register value, and hence can be written simultaneously.