Patents Examined by Michael B. Holmes
  • Patent number: 10742579
    Abstract: Methods and systems for analysis and/or classification of electronic message information so as to capture and identify salient objects exchanged during electronic message passing in order to impute certain information about the object, groups of objects, the message, groups of messages, the parties, communities involved in the message exchange or combinations, thereof.
    Type: Grant
    Filed: February 3, 2017
    Date of Patent: August 11, 2020
    Assignee: Firstwave Technology Pty Ltd.
    Inventor: Simon David Ryan
  • Patent number: 10733519
    Abstract: The various implementations described herein include systems and methods for determining that media items are currently being presented. In one aspect, a method performed at a client device includes: (1) identifying a media item potentially being presented on an output device coupled to the client device; (2) calculating a level of confidence that the identified media item is currently being presented to the user; (3) subsequent to the calculating, determining that at least one predetermined event associated with user interaction with the media item has occurred; and (4) based on the at least one predetermined event, increasing or decreasing the level of confidence that the identified media item is currently being presented to the user.
    Type: Grant
    Filed: July 25, 2017
    Date of Patent: August 4, 2020
    Assignee: Google LLC
    Inventor: Vincent Dureau
  • Patent number: 10733516
    Abstract: Provided is an information processing apparatus, including a calculation section which calculates a proficiency level of a user for operations performed by the user for achieving a prescribed objective based on history information related to the operations and attribute information related to physical features of the user, and a generation section which generates advice for achieving the objective based on the proficiency level calculated by the calculation section.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: August 4, 2020
    Assignee: SONY CORPORATION
    Inventors: Takayasu Kon, Yoichiro Sako, Kazunori Hayashi, Yasunori Kamada, Takatoshi Nakamura, Hiroyuki Hanaya, Tomoya Onuma, Akira Tange
  • Patent number: 10726355
    Abstract: In an example embodiment, a solution that automatically predicts an industry for a candidate company is provided. An existing industry classifier is trained using a first machine learning algorithm, the first machine learning algorithm taking as input first training data and existing industries listed in an industry taxonomy. A new industry classifier is trained using a second machine learning algorithm, the second machine learning algorithm taking as input second training data and new industries listed in an industry taxonomy. Then the candidate company is fed into the existing industry classifier, producing one or more predicted existing industries corresponding to the candidate company. The candidate company is also fed into the new industry classifier, producing one or more predicted new industries corresponding to the candidate company. One or more final predicted industries are selected from among the one or more predicted existing industries and the one or more predicted new industries.
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: July 28, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dan Shacham, Uri Merhav, Zhanpeng Fang
  • Patent number: 10726344
    Abstract: A diagnosis support apparatus which supports diagnosis based on information associated with a diagnosis name in advance is provided. In the diagnosis support apparatus, an acquisition unit acquires the diagnosis name set by a user. A providing unit provides negative information for the diagnosis name set by the user based on the information. With the above arrangement, the diagnosis support apparatus selects and presents information influencing the diagnosis name expected by the user, thereby efficiently presenting information required by the user.
    Type: Grant
    Filed: July 11, 2017
    Date of Patent: July 28, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Masami Kawagishi, Kiyohide Satoh, Yoshio Iizuka, Takeshi Kubo, Masahiro Yakami, Koji Fujimoto
  • Patent number: 10719767
    Abstract: The present invention envisages a system and method for automating the generation of business decision analytic models. The system uses a plurality of predictor variables stored in a plurality of data sets, to automatically create a business decision analytic model. The system includes a processor configured to process the data sets and determine the total number of records present in each of the data sets and the number of columns containing only numerical values. The processor selects a column containing only numerical values, from a dataset under consideration, and counts the number of unique numerical values in the selected column, and the total number of records present in the selected column. The two counts are compared and the selected column is transformed using a non-linear transformation to obtain a column of transformed values. The transformed values and corresponding time stamps are utilized for the purpose of model generation.
    Type: Grant
    Filed: February 27, 2017
    Date of Patent: July 21, 2020
    Assignee: ServiceNow, Inc.
    Inventors: Baskar Jayaraman, Debashish Chatterjee, Kanaan Govindarajan, Ganesh Rajan
  • Patent number: 10713571
    Abstract: A mechanism is provided in a data processing system for automatically generating question and answer pairs for training a question answering system for a given domain. The mechanism receives user input of question text for a question to be submitted to a question answering system in a user interface. The mechanism determines a question strength score for the question text. The question strength score represents a likelihood the question text will result in a correct answer with high confidence. The mechanism presents a graphical representation of the question strength score in the user interface.
    Type: Grant
    Filed: March 7, 2016
    Date of Patent: July 14, 2020
    Assignee: International Business Machines Corporation
    Inventors: Kenneth M. Giffels, Christopher J. Karle, William G. O'Keeffe, Ketan T. Patel, David D. Taieb, Sabrina Yee
  • Patent number: 10706359
    Abstract: A computer implemented system for automating the generation of an analytic model includes a processor configured to process a plurality of data sets. Each data set includes values for a plurality of variables. A time-stamping module is configured to derive values for a plurality of elapsed-time variables for each data set, and the plurality of variables and plurality of elapsed-time variables are included in a plurality of model variables. A model generator is configured to create a plurality of comparison analytic models each based on a different subset of model variables. Each comparison analytic model is configured to operate on new data sets associated with current leads, and to output a likelihood of successfully closing an associated transaction. A model testing module is configured to select an operational analytic model from among the comparison analytic models based on a quality metric.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: July 7, 2020
    Assignee: ServiceNow, Inc.
    Inventors: Baskar Jayaraman, Debashish Chatterjee, Kannan Govindarajan, Ganesh Rajan
  • Patent number: 10706361
    Abstract: Hybrid feature selection methods include methods of creating a predictive model for valve performance in a fleet of aircraft. Methods include qualifying a qualification dataset of valve-related parameters calculated from data collected during a first series of flights at least before and after a non-performance event of a valve. Methods include receiving a qualified selection of the valve-related parameters and verifying a verification dataset of the qualified selection of the valve-related parameters calculated from data collected during a second series of flights. Methods include receiving a set of verified and qualified valve-related parameters and building a predictive model for valve non-performance with a training dataset of the verified and qualified valve-related parameters calculated from data collected during additional flights of the fleet.
    Type: Grant
    Filed: December 11, 2015
    Date of Patent: July 7, 2020
    Assignee: The Boeing Company
    Inventors: James M. Ethington, Liessman E. Sturlaugson, Timothy J. Wilmering
  • Patent number: 10699803
    Abstract: Presenting ancestral origin information, comprising: receiving a request to display ancestry data of an individual; obtaining ancestry composition information of the individual, the ancestry composition information including information pertaining to a proportion of the individual's genotype data that is deemed to correspond to a specific ancestry; and presenting the ancestry composition information to be displayed.
    Type: Grant
    Filed: June 13, 2016
    Date of Patent: June 30, 2020
    Assignee: 23andMe, Inc.
    Inventors: Chuong Do, Eric Durand, John Michael Macpherson
  • Patent number: 10699202
    Abstract: A method and system of inferential-based communications applies two sets of values, whereby the first set of values are determined from inferences of the relevancy of textual elements with respect to text-based content and the second set of values are determined from behavioral-based inferences with respect to topics, so as to select appropriate words to be included in communications that are generated for delivery to a user. The inferences that are with respect to text-based content may be determined by applying analytic methods such as Bayesian or statistical learning-based methods. The values that are determined from behavioral-based inferences with respect to topics may correspond to inferences of interest and/or expertise. Words in the communications may be selected and/or arranged in accordance with syntactical rules and may reference elements of the text-based content and/or behavioral inferences.
    Type: Grant
    Filed: August 27, 2016
    Date of Patent: June 30, 2020
    Assignee: ManyWorlds, Inc.
    Inventors: Steven Dennis Flinn, Naomi Felina Moneypenny
  • Patent number: 10679146
    Abstract: A method for touch classification includes obtaining frame data representative of a plurality of frames captured by a touch-sensitive device, analyzing the frame data to define a respective blob in each frame of the plurality of frames, the blobs being indicative of a touch event, computing a plurality of feature sets for the touch event, each feature set specifying properties of the respective blob in each frame of the plurality of frames, and determining a type of the touch event via machine learning classification configured to provide multiple non-bimodal classification scores based on the plurality of feature sets for the plurality of frames, each non-bimodal classification score being indicative of an ambiguity level in the machine learning classification.
    Type: Grant
    Filed: January 3, 2017
    Date of Patent: June 9, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Dan Johnson, Pablo Sala
  • Patent number: 10671889
    Abstract: A variational autoencoder (VAE) neural network system, comprising an encoder neural network to encode an input data item to define a posterior distribution for a set of latent variables, and a decoder neural network to generate an output data item representing values of a set of latent variables sampled from the posterior distribution. The system is configured for training with an objective function including a term dependent on a difference between the posterior distribution and a prior distribution. The prior and posterior distributions are arranged so that they cannot be matched to one another. The VAE system may be used for compressing and decompressing data.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: June 2, 2020
    Assignee: DeepMind Technologies Limited
    Inventors: Benjamin Poole, Aaron Gerard Antonius van den Oord, Ali Razavi-Nematollahi, Oriol Vinyals
  • Patent number: 10671926
    Abstract: A computer implemented system for automating the generation of an analytic model includes a processor configured to process a plurality of data sets. Each data set includes values for a plurality of variables. A time-stamping module is configured to derive values for a plurality of elapsed-time variables for each data set, and the plurality of variables and plurality of elapsed-time variables are included in a plurality of model variables. A model generator is configured to create a plurality of comparison analytic models each based on a different subset of model variables. Each comparison analytic model is configured to operate on new data sets associated with current opportunities, and to output a likelihood of successfully closing each current opportunity. A model testing module is configured to select an operational analytic model from among the comparison analytic models based on a quality metric.
    Type: Grant
    Filed: January 12, 2017
    Date of Patent: June 2, 2020
    Assignee: ServiceNow, Inc.
    Inventors: Baskar Jayaraman, Debashish Chatterjee, Kannan Govindarajan, Ganesh Rajan
  • Patent number: 10672515
    Abstract: Methods and devices for retrospectively assessing continuous monitoring reference pattern data to determine a risk of a patient glucose level measurement taken in at least one data segment being outside a predetermined range. The methods and devices can include executing an algorithm to compare risk scores derived from reference pattern data in a currently collected data segment with risk scores of previously stored reference pattern data of previously collected data segments for a patient for assessing risk.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: June 2, 2020
    Assignee: Roche Diabetes Care, Inc.
    Inventors: Abhishek Soni, David L. Duke
  • Patent number: 10657480
    Abstract: Methods and systems for pharmacy modeling are described. The risk adjusted pharmacy predictive model is created from member data, claims data, and population data. This model can be used to compare the actual pharmacy performance to an expected actual pharmacy performance value, which can be used to identify pharmacies at risk or not performing to an acceptable level. The model can be used for adherence and generic drug utilization ratings of pharmacies. The pharmacy can be judged on a therapy class by therapy class basis with factors that reflect the demographic, socio-economic, location, benefits attributes, etc. that actually affect the performance of the pharmacy and may assist in determining the quality of care by a pharmacy.
    Type: Grant
    Filed: August 4, 2017
    Date of Patent: May 19, 2020
    Assignee: Express Scripts Strategic Development, Inc.
    Inventors: Dhanur S. Balagere, David A. Tomala, Robert F. Nease, Reethi N. Iyengar
  • Patent number: 10658071
    Abstract: Ancestry deconvolution includes obtaining unphased genotype data of an individual; phasing, using one or more processors, the unphased genotype data to generate phased haplotype data; using a learning machine to classify portions of the phased haplotype data as corresponding to specific ancestries respectively and generate initial classification results; and correcting errors in the initial classification results to generate modified classification results.
    Type: Grant
    Filed: November 11, 2015
    Date of Patent: May 19, 2020
    Assignee: 23andMe, Inc.
    Inventors: Chuong Do, Eric Yves Jean-Marc Durand, John Michael Macpherson
  • Patent number: 10657459
    Abstract: Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected.
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: May 19, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michel H. T. Hack, Yufei Ren, Yandong Wang, Li Zhang
  • Patent number: 10644939
    Abstract: The disclosure generally describes computer-implemented methods, software, and systems for modeling and deploying decision services. One computer-implemented method includes creating a connection between a decision service manager and a managed system, establishing a signature of a decision service, developing, using at least one computer, the decision service based upon the established signature of the decision service, performing a deployment readiness check, transferring generated code implementing the decision service to the managed system upon a determination that the deployment readiness check was successful, inserting the generated code into the managed system, and retrieving a deployment status from the managed system.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: May 5, 2020
    Assignee: SAP SE
    Inventor: Carsten Ziegler
  • Patent number: 10642836
    Abstract: Example embodiments relate to a network-based ontology curation system employed for receiving a request to view a data object, curating an ontology associated with the data object on-the-fly based on attributes of the request that include device and user characteristics.
    Type: Grant
    Filed: July 25, 2017
    Date of Patent: May 5, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Peter Wilczynski, Ryan Beiermeister, Timothy Slatcher, Andrew Elder