Invention Grant
- Patent Title: System and method of modeling irregularly sampled temporal data using Kalman filters
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Application No.: US15083466Application Date: 2016-03-29
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Publication No.: US10437944B2Publication Date: 2019-10-08
- Inventor: Abhishek Sengupta , Prathosh Aragulla Prasad , Satya Narayan Shukla , Vaibhav Rajan , Katerina Sinclair , Stephen Fullerton
- Applicant: Conduent Business Services, LLC
- Applicant Address: US NJ Florham Park
- Assignee: Conduent Business Services, LLC
- Current Assignee: Conduent Business Services, LLC
- Current Assignee Address: US NJ Florham Park
- Agency: Loza & Loza LLP
- Agent Kermit D. Lopez; Luis M. Ortiz
- Main IPC: G06F17/18
- IPC: G06F17/18 ; G06N5/04 ; G06F17/50 ; G06N20/00 ; G06K9/00

Abstract:
Systems and methods of modeling irregularly sampled time series signals with unknown temporal dynamics are disclosed wherein a temporal difference variable (TDV) is introduced to model irregular time differences between subsequent measurements. A hierarchical model is designed comprising two linear dynamical systems that model the effects of evolving TDV on temporal observations. All the parameters of the model, including the temporal dynamics, are statistically estimated using historical data.
Public/Granted literature
- US20170286569A1 SYSTEM AND METHOD OF MODELING IRREGULARLY SAMPLED TEMPORAL DATA USING KALMAN FILTERS Public/Granted day:2017-10-05
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