Patents by Inventor Pascal POMPEY
Pascal POMPEY 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).
-
Publication number: 20180112991Abstract: Embodiments for network reconstruction from message data by a processor. A digital map may be created using one or more messages of a plurality of vehicles obtained at a plurality of control points of a route network. The digital map may be analyzed to estimate a feasibility of simultaneous trajectories of the plurality of vehicles between selected locations in the route network.Type: ApplicationFiled: October 26, 2016Publication date: April 26, 2018Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric P. BOUILLET, Bei CHEN, Randall L. COGILL, Thanh L. HOANG, Marco LAUMANNS, Rahul NAIR, Tim NONNER, Pascal POMPEY, John SHEEHAN, Jacint SZABO
-
Publication number: 20180109854Abstract: In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data based, at least in part, on one or more similar consumption patterns of meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.Type: ApplicationFiled: December 16, 2017Publication date: April 19, 2018Inventors: Carlos A. Alzate Perez, Francesco Fusco, Pascal Pompey, Mathieu Sinn, Michael Wurst
-
Publication number: 20180089582Abstract: Embodiments for ensemble policy generation for prediction systems by a processor. Policies are generated and/or derived for a set of ensemble models to predict a plurality of target variables for streaming data such that the plurality of policies enables dynamic adjustment of the prediction system. One or more of the policies are updated according to one or more error states of the set of ensemble models.Type: ApplicationFiled: September 28, 2016Publication date: March 29, 2018Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Eric BOUILLET, Bei CHEN, Randall L. COGILL, Thanh L. HOANG, Marco LAUMANNS, William K. LYNCH, Rahul NAIR, Pascal POMPEY, John SHEEHAN
-
Publication number: 20160366495Abstract: In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.Type: ApplicationFiled: August 25, 2016Publication date: December 15, 2016Inventors: Carlos A. Alzate Perez, Francesco Fusco, Pascal Pompey, Mathieu Sinn, Michael Wurst
-
Publication number: 20160350377Abstract: The cost of data-mining is estimated where data-mining services are delivered via a distributed computing system environment. System requirements are estimated for a particular data-mining task for an input data set having specified properties. Estimating system requirements includes applying a partial learning tool to operate on sample data from the input data set.Type: ApplicationFiled: May 9, 2016Publication date: December 1, 2016Inventors: Jakub Marecek, Dimitrios Mavroeidis, Pascal Pompey, Michael Wurst
-
Publication number: 20160350376Abstract: The cost of data-mining is estimated where data-mining services are delivered via a distributed computing system environment. System requirements are estimated for a particular data-mining task for an input data set having specified properties. Estimating system requirements includes applying a partial learning tool to operate on sample data from the input data set.Type: ApplicationFiled: May 29, 2015Publication date: December 1, 2016Inventors: Jakub Marecek, Dimitrios Mavroeidis, Pascal Pompey, Michael Wurst
-
Patent number: 9506776Abstract: In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.Type: GrantFiled: August 8, 2014Date of Patent: November 29, 2016Assignee: International Business Machines CorporationInventors: Carlos A. Alzate Perez, Francesco Fusco, Pascal Pompey, Mathieu Sinn, Michael Wurst
-
Publication number: 20160314480Abstract: A mechanism is provided for synchronization of concurrent optimization and forecasting. A change between current forecast input data most recently received from a forecasting mechanism and forecast input data used in a current iterative execution of a mechanism for solving optimization problems is estimated with respect to the objective function employed in the optimization problem. A threshold is estimated by evaluating the progress of the mechanism for solving optimization problems in a current execution. A determination is made as to whether the change is greater than or equal to the threshold. Responsive to the change being greater than or equal to the threshold, further computation by the mechanism for solving optimization problems is canceled, restarted, or rescheduled. Responsive to the change being less than the threshold, computation by the sensitivity-aware scheduler is allowed to continue.Type: ApplicationFiled: April 23, 2015Publication date: October 27, 2016Inventors: Jakub Marecek, Martin Mevissen, Pascal Pompey, Mathieu Sinn
-
Publication number: 20160313714Abstract: A mechanism is provided for synchronization of concurrent optimization and forecasting. A change between current forecast input data most recently received from a forecasting mechanism and forecast input data used in a current iterative execution of a mechanism for solving optimization problems is estimated with respect to the objective function employed in the optimization problem. A threshold is estimated by evaluating the progress of the mechanism for solving optimization problems in a current execution. A determination is made as to whether the change is greater than or equal to the threshold. Responsive to the change being greater than or equal to the threshold, further computation by the mechanism for solving optimization problems is canceled, restarted, or rescheduled. Responsive to the change being less than the threshold, computation by the sensitivity-aware scheduler is allowed to continue.Type: ApplicationFiled: June 23, 2015Publication date: October 27, 2016Inventors: Jakub Marecek, Martin Mevissen, Pascal Pompey, Mathieu Sinn
-
Patent number: 9390377Abstract: Techniques for iterative feature extraction using domain knowledge are provided. In one aspect, a method for feature extraction is provided. The method includes the following steps. At least one query to predict at least one future value of a given value series based on a statistical model is received. At least two predictions of the future value are produced fulfilling at least the properties of 1) each being as probable as possible given the statistical model and 2) being mutually divert (in terms of numerical distance measure). A user is queried to select one of the predictions. The user may be queried for textual annotations for the predictions. The annotations may be used to identify additional covariates to create an extended set of covariates. The extended set of covariates may be used to improve the accuracy of the statistical model.Type: GrantFiled: March 5, 2013Date of Patent: July 12, 2016Assignee: International Business Machines CorporationInventors: Christoph Lingenfelder, Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Patent number: 9355479Abstract: A method for selecting an analysis procedure for a value series, including displaying a value series on a computer display monitor, receiving one or more sequences of user provided annotations, where the annotations overlay at least a sub-interval of the value series on the computer display monitor, using the sequences of user provided annotations to select an optimal value series analysis method from a set of value series analysis methods, where selecting an optimal value series analysis method includes determining parameter values for the optimal value series analysis method, and presenting the selected optimal value series analysis method and parameters, and the optimal reconstruction of the annotation sequences to the user.Type: GrantFiled: November 26, 2012Date of Patent: May 31, 2016Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Patent number: 9292798Abstract: Techniques for iterative feature extraction using domain knowledge are provided. In one aspect, a method for feature extraction is provided. The method includes the following steps. At least one query to predict at least one future value of a given value series based on a statistical model is received. At least two predictions of the future value are produced fulfilling at least the properties of 1) each being as probable as possible given the statistical model and 2) being mutually divert (in terms of numerical distance measure). A user is queried to select one of the predictions. The user may be queried for textual annotations for the predictions. The annotations may be used to identify additional covariates to create an extended set of covariates. The extended set of covariates may be used to improve the accuracy of the statistical model.Type: GrantFiled: December 21, 2012Date of Patent: March 22, 2016Assignee: International Business Machines CorporationInventors: Christoph Lingenfelder, Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Publication number: 20160071295Abstract: A method for selecting an analysis procedure for a value series, including displaying a value series on a computer display monitor, receiving one or more sequences of user provided annotations, where the annotations overlay at least a sub-interval of the value series on the computer display monitor, using the sequences of user provided annotations to select an optimal value series analysis method from a set of value series analysis methods, where selecting an optimal value series analysis method includes determining parameter values for the optimal value series analysis method, and presenting the selected optimal value series analysis method and parameters, and the optimal reconstruction of the annotation sequences to the user.Type: ApplicationFiled: November 26, 2012Publication date: March 10, 2016Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pascal Pompey, OLIVIER VERSCHEURE, MICHAEL WURST
-
Publication number: 20160041002Abstract: In an approach for adaptive sampling of smart meter data, a computer retrieves one or more balancing constraints associated with one or more smart meter sensors. The computer retrieves meter sensor data from the one or more smart meter sensors according to the one or more balancing constraints. The computer determines a subsample of the meter sensor data, and then transmits the subsample of the meter sensor data to an optimization engine for use in solving an optimization problem.Type: ApplicationFiled: August 8, 2014Publication date: February 11, 2016Inventors: Carlos A. Alzate Perez, Francesco Fusco, Pascal Pompey, Mathieu Sinn, Michael Wurst
-
Patent number: 9183649Abstract: A method for selecting an analysis procedure for a value series, including displaying a value series on a computer display monitor, receiving one or more sequences of user provided annotations, where the annotations overlay at least a sub-interval of the value series on the computer display monitor, using the sequences of user provided annotations to select an optimal value series analysis method from a set of value series analysis methods, where selecting an optimal value series analysis method includes determining parameter values for the optimal value series analysis method, and presenting the selected optimal value series analysis method and parameters, and the optimal reconstruction of the annotation sequences to the user.Type: GrantFiled: November 15, 2012Date of Patent: November 10, 2015Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Patent number: 9069824Abstract: A method for accelerating time series data base queries includes segmenting an original time series of signal values into non-overlapping chunks, where a time-scale for each of the chunks is much less than the time scale of the entire time series, representing time series signal values in each chunk as a weighted superposition of atoms that are members of a shape dictionary to create a compressed time series, storing the original time series and the compressed time series into a database, determining whether a query is answerable using the compressed time series or the original time series, and whether answering the query using the compressed time series is faster. If answering the query is faster using the compressed representation, the query is executed on weight coefficients of the compressed time series to produce a query result, and the query result is translated back into an uncompressed representation.Type: GrantFiled: November 15, 2012Date of Patent: June 30, 2015Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Publication number: 20150134307Abstract: A method for generating models for a plurality of modeling tasks is disclosed. The method comprises receiving, with a processing device, the modeling tasks each having a target variable and at least one covariate. The target variable and at least one covariate are the same for all of the modeling tasks. A relationship between the target variable and at least one covariate is different for all of the modeling tasks. For each of the modeling tasks, generating a model including a transfer function for approximating the relationship between the target value and at least one covariate of the modeling task in a manner that at least two of the models share at least one identical transfer function and the models satisfy an accuracy condition.Type: ApplicationFiled: December 11, 2013Publication date: May 14, 2015Applicant: International Business Machines CorporationInventors: Pascal Pompey, Mathieu Sinn, Olivier Verscheure, Michael Wurst
-
Publication number: 20150134306Abstract: A computer program product for creating models comprises a computer readable storage medium having stored thereon first program instructions executable by a processor to cause the processor to receive the modeling tasks each having a target variable and at least one covariate, the target variable and the at least one covariate being the same for all of the modeling tasks, a relationship between the target variable and the at least one covariate being different for all of the modeling tasks, and second program instructions executable by the processor to cause the processor to generate, for each of the modeling tasks, a model including a transfer function for approximating the relationship between the target value and the at least one covariate of the modeling task in a manner that at least two of the models share an identical transfer function and the models satisfy an accuracy condition.Type: ApplicationFiled: November 13, 2013Publication date: May 14, 2015Applicant: International Business Machines CorporationInventors: Pascal Pompey, Mathieu Sinn, Olivier Verscheure, Michael Wurst
-
Patent number: 9015183Abstract: A method for accelerating time series data base queries includes segmenting an original time series of signal values into non-overlapping chunks, where a time-scale for each of the chunks is much less than the time scale of the entire time series, representing time series signal values in each chunk as a weighted superposition of atoms that are members of a shape dictionary to create a compressed time series, storing the original time series and the compressed time series into a database, determining whether a query is answerable using the compressed time series or the original time series, and whether answering the query using the compressed time series is faster. If answering the query is faster using the compressed representation, the query is executed on weight coefficients of the compressed time series to produce a query result, and the query result is translated back into an uncompressed representation.Type: GrantFiled: November 26, 2012Date of Patent: April 21, 2015Assignee: International Business Machines CorporationInventors: Pascal Pompey, Olivier Verscheure, Michael Wurst
-
Patent number: 8990145Abstract: A first data mining model and a second data mining model are compared. A first data mining model M1 represents results of a first data mining task on a first data set D1 and provides a set of first prediction values. A second data mining model M2 represents results of a second data mining task on a second data set D2 and provides a set of second prediction values. A relation R is determined between said sets of prediction values. For at least a first record of an input data set, a first and second probability distribution is created based on the first and second data mining models applied to the first record. A distance measure d is calculated for said first record using the first and second probability distributions and the relation. At least one region of interest is determined based on said distance measure d.Type: GrantFiled: August 19, 2011Date of Patent: March 24, 2015Assignee: International Business Machines CorporationInventors: Christoph Lingenfelder, Pascal Pompey, Michael Wurst