Patents by Inventor Manoj Keshavmurthi Chari

Manoj Keshavmurthi Chari 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: 20210157595
    Abstract: An apparatus includes a processor core to: receive a request to execute application code including a trigger instruction and an instruction block that reads a row of data values from a data structure and outputs a data value from a function using the row as input, wherein the data structure is divided into multiple portions and the trigger instruction indicates that multiple instances of the instruction block are to be executed concurrently; and in response to the request, and to identification of the instruction block and trigger instruction: generate multiple instances of a support block that causes independent repetitive execution of each instance of the instruction block until all rows of the corresponding portion of the data structure are used as input; assign instances of the instruction and support blocks to multiple processor cores; and provide each instance of the instruction block with the corresponding portion of the data structure.
    Type: Application
    Filed: November 27, 2020
    Publication date: May 27, 2021
    Applicant: SAS Institute Inc.
    Inventors: Jack Joseph Rouse, Robert William Pratt, Jack Carl Erickson, Manoj Keshavmurthi Chari
  • Patent number: 10049302
    Abstract: A computing device trains models for streaming classification. A baseline penalty value is computed that is inversely proportional to a square of a maximum explanatory variable value. A set of penalty values is computed based on the baseline penalty value. For each penalty value of the set of penalty values, a classification type model is trained using the respective penalty value and the observation vectors to compute parameters that define a trained model, the classification type model is validated using the respective penalty value and the observation vectors to compute a validation criterion value that quantifies a validation error, and the validation criterion value, the respective penalty value, and the parameters that define a trained model are stored to the computer-readable medium. The classification type model is trained to predict the response variable value of each observation vector based on the respective explanatory variable value of each observation vector.
    Type: Grant
    Filed: March 5, 2018
    Date of Patent: August 14, 2018
    Assignee: SAS Institute Inc.
    Inventors: Jun Liu, Yan Xu, Joshua David Griffin, Manoj Keshavmurthi Chari
  • Patent number: 8296224
    Abstract: Computer-implemented systems and methods are provided for generating bins for a scorecard. An approximate set of bins is generated by applying an optimization model to binning data. The optimization model includes an objective function, constraints, and surrogate weight of evidence metric(s). The approximated set of bins are then used in scorecard operations.
    Type: Grant
    Filed: September 30, 2008
    Date of Patent: October 23, 2012
    Assignee: SAS Institute Inc.
    Inventors: Ivan Borges Oliveira, Manoj Keshavmurthi Chari, David Rawlins Duling, Susan Edwards Haller, Robert William Pratt
  • Patent number: 8296182
    Abstract: Computer-implemented systems and methods are provided for determining an action item from a global set of action items for a plurality of customers based on an objective function, a plurality of individual constraints, and a plurality of aggregate constraints. A plurality of offer sets is generated for each customer. An approximate highest reduced adjusted objective for each of the offer sets for each customer is calculated, and the customers are bucketed based on the highest adjusted objective value associated with each customer. The buckets are collapsed into a single bucket record containing a plurality of aggregate offer set columns, and an aggregate offer set column is selected from each bucket record for each bucket. Each bucket associated with a selected offer set is disaggregated, and the action item included in the selected offer set is stored in a computer-readable memory.
    Type: Grant
    Filed: August 20, 2008
    Date of Patent: October 23, 2012
    Assignee: SAS Institute Inc.
    Inventors: Manoj Keshavmurthi Chari, Balaji Gopalakrishnan, Yi Liao, Michelle Gail Opp
  • Publication number: 20100082469
    Abstract: Computer-implemented systems and methods are provided for generating bins for a scorecard. An approximate set of bins is generated by applying an optimization model to binning data. The optimization model includes an objective function, constraints, and surrogate weight of evidence metric(s). The approximated set of bins are then used in scorecard operations.
    Type: Application
    Filed: September 30, 2008
    Publication date: April 1, 2010
    Inventors: Ivan Borges Oliveira, Manoj Keshavmurthi Chari, David Rawlins Duling, Susan Edwards Haller, Robert William Pratt
  • Publication number: 20100049535
    Abstract: Computer-implemented systems and methods are provided for determining an action item from a global set of action items for a plurality of customers based on an objective function, a plurality of individual constraints, and a plurality of aggregate constraints. A plurality of offer sets is generated for each customer. An approximate highest reduced adjusted objective for each of the offer sets for each customer is calculated, and the customers are bucketed based on the highest adjusted objective value associated with each customer. The buckets are collapsed into a single bucket record containing a plurality of aggregate offer set columns, and an aggregate offer set column is selected from each bucket record for each bucket. Each bucket associated with a selected offer set is disaggregated, and the action item included in the selected offer set is stored in a computer-readable memory.
    Type: Application
    Filed: August 20, 2008
    Publication date: February 25, 2010
    Inventors: Manoj Keshavmurthi Chari, Balaji Gopalakrishnan, Yi Liao, Michelle Gail Opp