Patents Examined by Kakali Chaki
  • Patent number: 9684870
    Abstract: Methods and systems for classifying mobile device behavior include configuring a server use a large corpus of mobile device behaviors to generate a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Boosted decision stumps may be culled by selecting all boosted decision stumps that depend upon a limited set of test conditions.
    Type: Grant
    Filed: November 26, 2013
    Date of Patent: June 20, 2017
    Assignee: QUALCOMM Incorporated
    Inventors: Kassem Fawaz, Vinay Sridhara, Rajarshi Gupta
  • Patent number: 9678944
    Abstract: Particular embodiments may store, at a client device, information associated with nodes and edges of a social graph. A node may comprise a user node or a concept node. Each node may be connected by edges to other nodes of the social graph. A first user may be associated with a first user node of the social graph. The client device may receive a character string from the first user, and identify, as the first user inputs the character string, an edge-type based on the character string and one or more edges of the identified edge-type, wherein the edges are locally stored on the client device. The client device may display one or more predictive typeahead results based on the identified edge-type and the identified edges. The predictive typeahead results may correspond to nodes stored locally on the client device.
    Type: Grant
    Filed: December 20, 2016
    Date of Patent: June 13, 2017
    Assignee: Facebook, Inc.
    Inventors: Shaheen Ashok Gandhi, Jasper Reid Hauser, Luke St. Clair, David Harry Garcia, Jenny Yuen
  • Patent number: 9672472
    Abstract: An example system and method for managing behavior change applications for mobile users is disclosed. In an embodiment of the system and method, data on a plurality of users in a behavioral change program is received from a plurality of devices operating in a communications network. The data is used to determine plurality of user segments. Each user of the plurality of users is classified into a one of the plurality of user segments. Then a plurality of behavioral models is determined, where each of the plurality of behavioral models comprises a statistical model of relations between behaviors of users within a corresponding one of the plurality of user segments. An intervention model is then determined for a user, where the intervention model is based on a behavior model of the user segment to which the user belongs. Interventions are then sent to a device of the user according to the intervention model.
    Type: Grant
    Filed: June 7, 2013
    Date of Patent: June 6, 2017
    Assignee: Mobiquity Incorporated
    Inventors: Scott Andrew Snyder, Gregory Paul Rozal, Andrew Nanopoulos, Stephen Tyler Rollin
  • Patent number: 9672465
    Abstract: According to one exemplary embodiment, a method for solving combinatorial optimization problems is provided. The method may include receiving a plurality of problem instance parameters associated with a graph. The method may also include determining a dynamic path change indicator exists. The method may then include initializing the graph based on the determining the dynamic path change indicator does not exist. The method may further include inserting a placeholder node and at least one placeholder node edge based on the determining the dynamic path change indicator exists. The method may also include reinitializing the graph with the inserted place holder node and the at least one placeholder node edge. The method may then include initializing the reinitialized graph. The method may further include executing a hybrid algorithm on the initialized graph or on the reinitialized graph, wherein the hybrid algorithm comprises an ant colony optimization algorithm and a genetic algorithm.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: June 6, 2017
    Assignee: International Business Machines Corporation
    Inventors: Vedula S. Sandeep, Sanjay K. Singh
  • Patent number: 9665092
    Abstract: Provided is a method and apparatus for managing failure modes for condition based maintenance in marine resource production equipment.
    Type: Grant
    Filed: January 12, 2016
    Date of Patent: May 30, 2017
    Assignee: PARTDB INC.
    Inventors: Jin Sang Hwang, Duck-Yong Song, Hwan-Seok Gim
  • Patent number: 9659255
    Abstract: Techniques described herein may be used to solve a stochastic problem by dividing the stochastic problem into multiple fragments. In some cases, each fragment may be related to a random variable that forms a part of the problem, such that each fragment may produce samples from a probability distribution for that variable. Each fragment of the stochastic problem may then be assigned to a configurable circuit to solve the stochastic fragment. Configurable circuits may be implemented using any suitable combination of hardware and/or software, including using stochastic circuitry. In some embodiments, stochastic circuitry may include a stochastic tile and/or a stochastic memory.
    Type: Grant
    Filed: November 19, 2013
    Date of Patent: May 23, 2017
    Assignee: salesforce.com, inc.
    Inventors: Eric M. Jonas, Vikash K. Mansinghka
  • Patent number: 9659248
    Abstract: Determining semantically equivalent text or questions using hybrid representations based on neural network learning. Weighted bag-of-words and convolutional neural networks (CNN) based distributed vector representations of questions or text may be generated to compute the semantic similarity between questions or text. Weighted bag-of-words and CNN based distributed vector representations may be jointly used to compute the semantic similarity. A pair-wise ranking loss function trains neural network. In one embodiment, the parameters of the system are trained by minimizing a pair-wise ranking loss function over a training set using stochastic gradient descent (SGD).
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: May 23, 2017
    Assignee: International Business Machines Corporation
    Inventors: Luciano de Andrade Barbosa, Daria Bogdanova, Matthias Kormaksson, Cicero Nogueira dos Santos, Bianca Zadrozny
  • Patent number: 9660571
    Abstract: A method for hybrid solar tracking, and an apparatus for hybrid solar tracking and a photovoltaic blind system using the same are disclosed. The method includes generating first predicted power output data by analyzing first measured power output data of the past; generating a lagged error; constructing a regression analysis (RA) model, and deriving second predicted power output data; constructing an artificial neural network (ANN) model, and deriving third predicted power output data; selecting either a method for solar tracking based on photovoltaic power output or a method for solar tracking based on location and time depending on whether the second measured power output data of the present time falls within a filtering range based on a first error range and a second error range; and determining the directions of photovoltaic panels according to the selected method for solar tracking.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: May 23, 2017
    Assignee: INDUSTRY-ACADEMIC COOPERATION FOUNDATION, YONSEI UNIVERSITY
    Inventors: Tae Hoon Hong, Choong Wan Koo, Kwang Bok Jeong, Ji Min Kim, Cheol Woo Ban, Min Hyun Lee, Chang Yoon Ji
  • Patent number: 9652722
    Abstract: A disclosed method may include iterating a model optimization process, the iterating including one or more iterations. The method may also include updating a classification model based on the iterating, the updating performed using training data. The method may further include generating a final version of the classification model based on a final iteration. The method may also include setting a parameter (q), the parameter corresponding to a total number of observations (Q) that are to be removed from the training data by the final iteration. The method may further include determining one or more corresponding numbers of observations to remove from the training data, where the corresponding number of observations are to be removed at some of select iterations tk, and the corresponding number of observations are to be removed based on the number Q and an estimate of the number of iterations remaining until the final iteration.
    Type: Grant
    Filed: December 5, 2013
    Date of Patent: May 16, 2017
    Assignee: The Mathworks, Inc.
    Inventor: Ilya Narsky
  • Patent number: 9652720
    Abstract: In one embodiment, network data is received at a Learning Machine (LM) in a network. It is determined whether the LM recognizes the received network data based on information available to the LM. When the LM fails to recognize the received network data: a connection to a central management node is established, a request is sent for information relating to the unrecognized network data to the central management node, and information is received from the central management node in response to the request. The received information assists the LM in recognizing the unrecognized network data.
    Type: Grant
    Filed: July 9, 2013
    Date of Patent: May 16, 2017
    Assignee: Cisco Technology, Inc.
    Inventors: Jean-Philippe Vasseur, Grégory Mermoud, Sukrit Dasgupta
  • Patent number: 9648016
    Abstract: Embodiments of a system and methods for predictive transmission of information are generally described herein. In some embodiments, a system includes a ground moving target indicator (GMTI) tracker module receives a current position estimate from a user equipment and to generate position and/or velocity estimates. A database system, including a mission/role database and user information database, receives the position and/or velocity estimates and transmits user information to the user equipment based on a predicted position of the user and the mission/role of a user.
    Type: Grant
    Filed: January 22, 2014
    Date of Patent: May 9, 2017
    Assignee: Raytheon Company
    Inventors: Susan N. Gottschlich, Raimund Merkert
  • Patent number: 9646247
    Abstract: A mechanism is provided, in a data processing system comprising a processor and a memory configured to implement a question and answer system (QA), for utilizing temporal indicators to weight semantic values. A set of temporal characteristics is identified of a set of initial candidate answers. For each initial candidate answer in the set of initial candidate answers: a distance value is generated for each of the set of temporal characteristics of the set of initial candidate answers, a multiplier value is determined with which to weight an initial confidence score associated with the initial candidate answer using the distance value; a sentiment value is determined of the initial candidate answer, and a final weight value is determined using the multiplier value, the sentiment value, and the initial confidence score associated with the initial candidate answer. A set of temporally refined candidate answers is then provided using the determined final weight values.
    Type: Grant
    Filed: April 9, 2014
    Date of Patent: May 9, 2017
    Assignee: International Business Machines Corporation
    Inventors: John P. Bufe, III, Alexander Pikovsky, Timothy P. Winkler
  • Patent number: 9646250
    Abstract: A cognitive system that automatically assesses subjective answers may be provided. A cognitive engine executing on one or more processors may determine whether a statement parsed from a subjective answer by natural language processing technique is accurate or inaccurate, for each of the plurality of statements based on matching the statement with information associated with a domain of a question from a plurality of data sources, according to an accuracy threshold. An overall assessment of the answer may be automatically determined based on a number of statements determined to be accurate, a number of statements determined to be inaccurate, a number of duplicate statements in the answer relative to a total number of statements in the answer. A visual graphics representing accurate and inaccurate statements may be presented or displayed, allowing a user to interact with the visual graphics to modify the assessment.
    Type: Grant
    Filed: November 17, 2015
    Date of Patent: May 9, 2017
    Assignee: International Business Machines Corporation
    Inventors: Sathish R. Indurthi, Mitesh M. Khapra, Yedendra B. Shrinivasan, Mitesh H. Vasa
  • Patent number: 9646005
    Abstract: A method and system for creating a database of multimedia content elements assigned to users are provided. The method comprises receiving at least one parameter identifying a user; receiving at least one multimedia content element from a user device; generating at least one signature to the at least one multimedia content element; searching for the existence of the at least multimedia content element in a database using the least one generated signature to determine whether each of the at least one multimedia content element is an existing multimedia content element or a non-existing multimedia content element; and generating a unique identifier using the at least one parameters for each non-existing multimedia content element; assigning the generated unique identifier to its respective non-existing multimedia content element; and storing each of the non-existing multimedia content elements and their respective unique identifiers in the database.
    Type: Grant
    Filed: March 5, 2014
    Date of Patent: May 9, 2017
    Assignee: Cortica, Ltd.
    Inventors: Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeevi
  • Patent number: 9646245
    Abstract: When using Web intelligence (“Webint”) to collect information regarding a target social network user, one of the most valuable pieces of information is the target user's List-Of-Friends (LOF). In some cases, however, the LOF of the target user is not accessible in his profile. Herein are described methods and systems for identifying the LOF of a target user. An analysis system crawls the profiles of social network users, other than the target user, and reconstructs the LOF of the target user from the crawled profiles.
    Type: Grant
    Filed: October 29, 2013
    Date of Patent: May 9, 2017
    Assignee: VERINT SYSTEMS LTD.
    Inventors: Rami Puzis, Roni Stern, Lior Rokach, Yuval Elovici, Tal Beja, Ariel Felner, Zahy Bnaya, Liron Samama
  • Patent number: 9633308
    Abstract: There is provided an information processing apparatus including an evaluation giving unit that gives an evaluation based on a second user to an item in a list created on a basis of a first user, and a display control unit that controls display of the list, on a basis of the evaluation based on the second user.
    Type: Grant
    Filed: April 17, 2013
    Date of Patent: April 25, 2017
    Assignee: SONY CORPORATION
    Inventors: Kei Tateno, Mari Saito, Yoshiyuki Kobayashi, Ryo Mukaiyama, Hideyuki Matsunaga
  • Patent number: 9633315
    Abstract: Method, system, and programs for distributed machine learning on a cluster including a plurality of nodes are disclosed. A machine learning process is performed in each of the plurality of nodes based on a respective subset of training data to calculate a local parameter. The training data is partitioned over the plurality of nodes. A plurality of operation nodes are determined from the plurality of nodes based on a status of the machine learning process performed in each of the plurality of nodes. The plurality of operation nodes are connected to form a network topology. An aggregated parameter is generated by merging local parameters calculated in each of the plurality of operation nodes in accordance with the network topology.
    Type: Grant
    Filed: April 27, 2012
    Date of Patent: April 25, 2017
    Assignee: EXCALIBUR IP, LLC
    Inventors: Olivier Chapelle, John Langford, Miroslav Dudik, Alekh Agarwal
  • Patent number: 9633312
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting user interests. In one aspect, a method includes training a prediction model to generate a category prediction of a next query from a set of queries, the category prediction specifying categories to which a next query belongs, the prediction model comprising a plurality of prediction functions that each generate a category prediction of a next query, wherein the prediction functions include two or more of a time-based prediction functions that generate a category prediction based on the category data and a difference of submission times of the queries, a rank-based prediction functions that generate a category prediction based on the category data and a rank order by which the queries were received, and a category-based prediction function that generates a category prediction based on the category data.
    Type: Grant
    Filed: April 28, 2015
    Date of Patent: April 25, 2017
    Assignee: Google Inc.
    Inventors: Shumeet Baluja, Michele Covell
  • Patent number: 9626629
    Abstract: User interactions are categorized into predefined hierarchical categories by classifying user interactions, such as queries, during a user interaction session by labeling text data into predefined hierarchical categories, and building a scoring model. The scoring model is then executed on untagged user interaction data to classify the user interactions into either action-based or information-based interactions.
    Type: Grant
    Filed: February 14, 2014
    Date of Patent: April 18, 2017
    Assignee: 24/7 Customer, Inc.
    Inventors: Ravi Vijayaraghavan, Vaibhav Srivastava, R. Mathangi Sri, Nitin Kumar Hardeniya
  • Patent number: 9626628
    Abstract: In one embodiment, techniques are shown and described relating to a point-to-multipoint communication infrastructure for expert-based knowledge feed-back using learning machines. A learning machine may communicate an expert discovery request into a network to discover one or more experts, and then receive from the one or more experts, one or more expert discovery responses. Based on the one or more received expert discovery responses, the learning machine may then build a dynamic multicast tree of experts to assist the learning machine in a computer network.
    Type: Grant
    Filed: January 27, 2014
    Date of Patent: April 18, 2017
    Assignee: Cisco Technology, Inc.
    Inventors: Sukrit Dasgupta, Jean-Philippe Vasseur, Grégory Mermoud