Patents by Inventor Jeffrey S. Boston
Jeffrey S. Boston has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11941493Abstract: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.Type: GrantFiled: February 27, 2019Date of Patent: March 26, 2024Assignee: International Business Machines CorporationInventors: Michael Desmond, Matthew R. Arnold, Jeffrey S. Boston
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Patent number: 11182683Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: GrantFiled: February 9, 2016Date of Patent: November 23, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Patent number: 11182684Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: GrantFiled: February 9, 2016Date of Patent: November 23, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20200272938Abstract: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.Type: ApplicationFiled: February 27, 2019Publication date: August 27, 2020Inventors: MICHAEL DESMOND, MATTHEW R. ARNOLD, JEFFREY S. BOSTON
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Publication number: 20160162792Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: ApplicationFiled: February 9, 2016Publication date: June 9, 2016Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20160155057Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.Type: ApplicationFiled: February 9, 2016Publication date: June 2, 2016Inventors: Jie Lu, Jeffrey S. Boston, Anni R. Coden, Jennifer Lai, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Patent number: 8914452Abstract: Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.Type: GrantFiled: May 31, 2012Date of Patent: December 16, 2014Assignee: International Business Machines CorporationInventors: Jeffrey S. Boston, Jennifer C. Lai, Shimei Pan, Mercan Topkara, Stephen P. Wood
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Publication number: 20140074525Abstract: Methods and apparatus are provided for business outcome-based personalized ranking of information objects. Information objects in outcome-based business processes are ranked by recording information objects generated during a creation of the outcome-based business processes. At least one business process comprises an outcome attribute, and at least one business process comprises in-process information objects. A composite graph is generated of the information objects and business processes. Each node in the graph corresponds to an information object or a business process. Links between two of the information object nodes have a strength based on a content similarity and a social network distance. The in-process information object node connects to a corresponding business process node, and two business process nodes have a link if they are indicated as related in the business process information system.Type: ApplicationFiled: September 26, 2012Publication date: March 13, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Tina Groves, Jennifer Lai, Jie Lu, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20140074524Abstract: Business outcome-based personalized ranking of information objects is provided. Information objects in outcome-based business processes are ranked by recording information objects generated during a creation of the outcome-based business processes. At least one business process comprises an outcome attribute, and at least one business process comprises in-process information objects. A composite graph is generated of the information objects and business processes. Each node in the graph corresponds to an information object or a business process. Links between two information object nodes have a strength based on a content similarity and a social network distance. The in-process information object node connects to a corresponding business process node, and two business process nodes have a link if they are indicated as related in the business process information system. The information objects are ranked based on the link strengths.Type: ApplicationFiled: September 10, 2012Publication date: March 13, 2014Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Tina Groves, Jennifer Lai, Jie Lu, Shimei Pan, Mercan Topkara, Zhen Wen, Stephen P. Wood
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Publication number: 20130325972Abstract: Automatically generating a meeting digest of a set of meetings is provided. A set of topics of interest to the parties to the set of meetings is detected utilizing a user model associated with a user that is based on at least one of communications, relationships, and roles of the parties to the set of meetings. Topic-related content associated with the set of topics of interest to the parties is extracted from meeting data corresponding to the set of meetings. Then, the meeting digest of the set of meetings is generated using the topic-related content associated with the set of topics of interest to the parties extracted from the meeting data corresponding to the set of meetings.Type: ApplicationFiled: May 31, 2012Publication date: December 5, 2013Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jeffrey S. Boston, Jennifer C. Lai, Shimei Pan, Mercan Topkara, Stephen P. Wood
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Patent number: 5515493Abstract: A first method manages a display screen window of an application program that is halted and includes the following steps: in responsive to an application program being halted, (a) copying the informational content of a window of the halted application program; (b) creating a second window, referred to as a shadow window, to be in registration with the window of the halted application program such that the window of the halted application program is hidden from the view of an observer of the display screen; (c) painting the second window with the copy of the informational content of the halted application program; and (d) in response to a message to re-paint the second window, re-painting the second window with the copy of the informational content of the halted application program.Type: GrantFiled: October 10, 1995Date of Patent: May 7, 1996Assignee: International Business Machines CorporationInventors: Jeffrey S. Boston, Donald P. Pazel, Zvi P. Weiss