Patents by Inventor Vladimir Brayman
Vladimir Brayman 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: 11915702Abstract: The current document is directed to a methods and systems that use observational data collected by various devices and sensors to generate electronic-data representations of human conversations. The implementations of these methods and systems, disclosed in the current document, provide a highly extensible and generic platform for converting observational data into affect-annotated-timeline outputs that provide both a textual transcription of a conversation and a parallel set of affect annotations to the conversation. The affect-annotated-timeline outputs may be useful to researchers and developers, but also serve as inputs to any of a wide variety of downstream analytical processes and analysis systems that are, in turn, incorporated into many different types of special-purpose analysis and control systems.Type: GrantFiled: August 24, 2021Date of Patent: February 27, 2024Assignee: AFFECTIVE SOFTWARE, INC.Inventors: Vladimir Brayman, John Gottman, Connor Eaton, Yuriy Gulak, Rafael Lisitsa
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Patent number: 11869652Abstract: The current document is directed to a relationship-analysis system. The currently disclosed relationship-analysis system collects objective and subjective observations of participants, and their relationship, in an interaction or transaction. The objective and subjective observations are combined to generate an observation data set that is processed by a computational relationship-analysis system. The analysis produces a variety of different types of results, including trust metrics, and stores the results in memory and/or mass-storage for control of downstream analysis, reporting, and actions. Trust metrics provide a basis for carrying out numerous types of downstream actions and for generating recommendations and evaluations by various types of relationship-evaluation and relationship-management systems that employ the relationship-analysis system.Type: GrantFiled: August 30, 2021Date of Patent: January 9, 2024Assignee: Affective Software, Inc.Inventors: John Gottman, Vladimir Brayman, Rafael Lisitsa
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Publication number: 20210391055Abstract: The current document is directed to a relationship-analysis system. The currently disclosed relationship-analysis system collects objective and subjective observations of participants, and their relationship, in an interaction or transaction. The objective and subjective observations are combined to generate an observation data set that is processed by a computational relationship-analysis system. The analysis produces a variety of different types of results, including trust metrics, and stores the results in memory and/or mass-storage for control of downstream analysis, reporting, and actions. Trust metrics provide a basis for carrying out numerous types of downstream actions and for generating recommendations and evaluations by various types of relationship-evaluation and relationship-management systems that employ the relationship-analysis system.Type: ApplicationFiled: August 30, 2021Publication date: December 16, 2021Applicant: Affective Software, Inc.Inventors: John Gottman, Vladimir Brayman, Rafael Lisitsa
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Patent number: 11139065Abstract: The current document is directed to a relationship-analysis system. The currently disclosed relationship-analysis system collects objective and subjective observations of participants, and their relationship, in an interaction or transaction. The objective and subjective observations are combined to generate an observation data set that is processed by a computational relationship-analysis system. The analysis produces a variety of different types of results, including trust metrics, and stores the results in memory and/or mass-storage for control of downstream analysis, reporting, and actions. Trust metrics provide a basis for carrying out numerous types of downstream actions and for generating recommendations and evaluations by various types of relationship-evaluation and relationship-management systems that employ the relationship-analysis system.Type: GrantFiled: May 7, 2020Date of Patent: October 5, 2021Assignee: Affective Software, Inc.Inventors: John Gottman, Vladimir Brayman, Rafael Lisitsa
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Publication number: 20200183748Abstract: The current document is directed to methods and systems that provide optimal or near-optimal resource-exchange operation through configuration and control of resource exchanges. These methods and systems employ a number of currently disclosed optimization tools, including dimensional reduction of attribute vectors corresponding to resource-exchange entities, scoring resources with respect to their ease or likelihood of matching to resource users, and providing optimal or near-optimal attribute values for attribute vectors corresponding to resource-exchange entities. These optimization tools facilitate development of a wide variety of different types of resource-exchange-operation-improvement and resource-exchange-optimization methods and systems, including methods and systems for configuring resource exchanges to improve and/or optimize their operational behaviors.Type: ApplicationFiled: December 10, 2018Publication date: June 11, 2020Inventors: Vivek Bhatnagar, Vladimir Brayman
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Patent number: 10339546Abstract: The current document is directed to automated market-segment-discovery methods and systems that may be incorporated within, or used in combination with, various types of analysis and optimization automated systems for automated discovery of market segments for subsequent use in targeted marketing and information distribution. In one implementation, a log of visitor records collected by an analysis and/or optimization system is processed to generate a segment-discovery tree. Construction of the segment-discovery tree produces a set of candidate market-segment-defining rules. Various different techniques and metrics can be applied to produce a set of market-segment-defining rules from these candidate rules. The market-segment-defining rules can then be exported to marketing systems or subsystems to facilitate targeted marketing and information distribution.Type: GrantFiled: May 5, 2014Date of Patent: July 2, 2019Assignee: Oracle International CorporationInventors: Ethan Dereszynski, Vladimir Brayman
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Patent number: 9928526Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign an action to each of a number of events and that use the actions to predict future events and actions. In a described implementation, accumulated action messages are used to build a predictive model for each monitored website and the predictive model is used, in turn, to predict future actions based on already received actions.Type: GrantFiled: March 24, 2015Date of Patent: March 27, 2018Assignee: ORACLE AMERICA, INC.Inventors: Ethan Dereszynski, Vladimir Brayman, Weng-Keen Wong
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Patent number: 9911143Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign a topic or category to each of a number of events. In a described implementation, the events comprise key/value pairs. A seeded local/global-topic latent Dirichlet allocation methods is used to discover topics and assign topics to a set of events. The topic-assigned events are then processed to generate topic signatures, using which the methods and systems assign topics to subsequently received messages.Type: GrantFiled: December 29, 2014Date of Patent: March 6, 2018Assignee: ORACLE AMERICA, INC.Inventors: Ethan Dereszynski, Vladimir Brayman, Weng-Keen Wong, Travis Walker Moore
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Publication number: 20170300966Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign an action to each of a number of events and that use the actions to predict future events and actions. In a described implementation, accumulated action messages are used to build a predictive model for each monitored website and the predictive model is used, in turn, to predict future actions based on already received actions.Type: ApplicationFiled: March 24, 2015Publication date: October 19, 2017Applicant: Oracle America, Inc.Inventors: Ethan Dereszynski, Vladimir Brayman, Weng-Keen Wong
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Patent number: 9460135Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that perform testing that results in non-binomial experimental results that are processed by using efficient and robust processing methods. In one implementation, efficient and robust processing methods are employed to process non-binomial results produced from single-factor tests. In a second implementation, robust and computationally efficient processing methods are employed to analyze non-binomial results from multi-factor/multi-level tests.Type: GrantFiled: September 10, 2013Date of Patent: October 4, 2016Assignee: Webtrends Inc.Inventors: Vladimir Brayman, Lihui Shi, Spencer Wood
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Publication number: 20150254328Abstract: The current document is directed to methods and systems that receive instrumentation-generated events and that employ statistical inference to discover event topics and to assign a topic or category to each of a number of events. In a described implementation, the events comprise key/value pairs. A seeded local/global-topic latent Dirichlet allocation methods is used to discover topics and assign topics to a set of events. The topic-assigned events are then processed to generate topic signatures, using which the methods and systems assign topics to subsequently received messages.Type: ApplicationFiled: December 29, 2014Publication date: September 10, 2015Applicant: WEBTRENDS INC.Inventors: Ethan Dereszynski, Vladimir Brayman, Weng-Keen Wong, Travis Walker Moore
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Publication number: 20150081389Abstract: The current document is directed to automated market-segment-discovery methods and systems that may be incorporated within, or used in combination with, various types of analysis and optimization automated systems for automated discovery of market segments for subsequent use in targeted marketing and information distribution. In one implementation, a log of visitor records collected by an analysis and/or optimization system is processed to generate a segment-discovery tree. Construction of the segment-discovery tree produces a set of candidate market-segment-defining rules. Various different techniques and metrics can be applied to produce a set of market-segment-defining rules from these candidate rules. The market-segment-defining rules can then be exported to marketing systems or subsystems to facilitate targeted marketing and information distribution.Type: ApplicationFiled: May 5, 2014Publication date: March 19, 2015Applicant: WEBTRENDS, INC.Inventors: Ethan Dereszynski, Vladimir Brayman
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Patent number: 8849975Abstract: Certain embodiments of the present invention are directed to test-duration estimation. A time needed to run an automated web-page test, or the remaining time needed to complete the automated web-page test, is estimated by estimating a sample size needed to ensure that observed differences in conversion rates are attributable, with a specified statistical significance, to selecting particular factor levels for particular factors that are varied during the automated testing. The estimated sample size is then divided by an average web-page access rate to obtain the remaining testing time to achieve a specified significance level.Type: GrantFiled: February 2, 2011Date of Patent: September 30, 2014Assignee: Webtrends Inc.Inventor: Vladimir Brayman
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Publication number: 20140172871Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that perform testing that results in non-binomial experimental results that are processed by using efficient and robust processing methods. In one implementation, efficient and robust processing methods are employed to process non-binomial results produced from single-factor tests. In a second implementation, robust and computationally efficient processing methods are employed to analyze non-binomial results from multi-factor/multi-level tests.Type: ApplicationFiled: September 10, 2013Publication date: June 19, 2014Applicant: WEBTRENDS INC.Inventors: Vladimir Brayman, Lihui Shi, Spencer Wood
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Publication number: 20130091222Abstract: The current application is directed to methods and systems that accumulate data with respect to the time behavior of posts related to one or more pages of an individual or organization within a social network and generate one or more models that characterize the time behavior of posts within the social network. These models, or heuristics based on these models, can be used to estimate characteristics and parameters of the time behaviors of individual posts prior to posting or at various times following posting of the posts to social-network pages.Type: ApplicationFiled: October 5, 2012Publication date: April 11, 2013Applicant: WEBTRENDS INC.Inventor: Vladimir Brayman
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Publication number: 20110224946Abstract: Certain embodiments of the present invention are directed to test-duration estimation. A time needed to run an automated web-page test, or the remaining time needed to complete the automated web-page test, is estimated by estimating a sample size needed to ensure that observed differences in conversion rates are attributable, with a specified statistical significance, to selecting particular factor levels for particular factors that are varied during the automated testing. The estimated sample size is then divided by an average web-page access rate to obtain the remaining testing time to achieve a specified significance level.Type: ApplicationFiled: February 2, 2011Publication date: September 15, 2011Inventor: Vladimir Brayman
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Patent number: 7216004Abstract: Embodiments of the disclosed invention include optimization methods and systems that receive a mathematical description of a system, in symbolic form, that includes decision variables of various types, including real-number-valued, integer-valued, and Boolean-valued decision variables, and that may also include a variety of constraints on the values of the decision variables, including inequality and equality constraints. The objective function and constraints are incorporated into a global objective function. The global objective function is transformed into a system of differential equations in terms of continuous variables and parameters, so that polynomial-time methods for solving differential equations can be applied to calculate near-optimal solutions for the global objective function.Type: GrantFiled: March 15, 2006Date of Patent: May 8, 2007Assignee: Clearsight Systems Inc.Inventors: Wolf Kohn, Vladimir Brayman
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Publication number: 20060173661Abstract: Embodiments of the disclosed invention include optimization methods and systems that receive a mathematical description of a system, in symbolic form, that includes decision variables of various types, including real-number-valued, integer-valued, and Boolean-valued decision variables, and that may also include a variety of constraints on the values of the decision variables, including inequality and equality constraints. The objective function and constraints are incorporated into a global objective function. The global objective function is transformed into a system of differential equations in terms of continuous variables and parameters, so that polynomial-time methods for solving differential equations can be applied to calculate near-optimal solutions for the global objective function.Type: ApplicationFiled: March 15, 2006Publication date: August 3, 2006Inventors: Wolf Kohn, Vladimir Brayman
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Patent number: 7072723Abstract: Embodiments of the disclosed inventinn include optimization methods and systems that receive a mathematical description of a system, in symbolic form, that includes decision variables of various types, including real-number-valued, integer-valued, and Bloolean-valued decision variables, and that may also include a variety of constraints on the values of the decision variables, including inequality and equality constraints. The objective function and constraints are incorporated into a global objective function. The global objective function is transformed into a system of differential equations in terms of continuous variables and parameters, so that polynomial-time methods for solving differential equations can be applied to calculate near-optimal solutions for the global objective function.Type: GrantFiled: December 23, 2003Date of Patent: July 4, 2006Assignee: Clearsight Systems Inc.Inventors: Wolf Kohn, Vladimir Brayman
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Publication number: 20050102044Abstract: Methods and systems for finding optimal or near optimal solutions for generic optimization problems by an approach to minimizing functions over high-dimensional domains that mathematically model the optimization problems. Embodiments of the disclosed invention receive a mathematical description of a system, in symbolic form, that includes decision variables of various types, including real-number-valued, integer-valued, and Boolean-valued decision variables, and that may also include a variety of constraints on the values of the decision variables, including inequality and equality constraints. The objective function and constraints are incorporated into a global objective function. The global objective function is transformed into a system of differential equations in terms of continuous variables and parameters, so that polynomial-time methods for solving differential equations can be applied to calculate near-optimal solutions for the global objective function.Type: ApplicationFiled: December 23, 2003Publication date: May 12, 2005Inventors: Wolf Kohn, Vladimir Brayman