Invention Grant
- Patent Title: Multiple-action computational model training and operation
-
Application No.: US15084113Application Date: 2016-03-29
-
Publication No.: US10909450B2Publication Date: 2021-02-02
- Inventor: Jianshu Chen , Li Deng , Jianfeng Gao , Xiadong He , Lihong Li , Ji He , Mari Ostendorf
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04

Abstract:
A processing unit can determine a first feature value corresponding to a session by operating a first network computational model (NCM) based part on information of the session. The processing unit can determine respective second feature values corresponding to individual actions of a plurality of actions by operating a second NCM. The second NCM can use a common set of parameters in determining the second feature values. The processing unit can determine respective expectation values of some of the actions of the plurality of actions based on the first feature value and the respective second feature values. The processing unit can select a first action of the plurality of actions based on at least one of the expectation values. In some examples, the processing unit can operate an NCM to determine expectation values based on information of a session and information of respective actions.
Public/Granted literature
- US20170286860A1 MULTIPLE-ACTION COMPUTATIONAL MODEL TRAINING AND OPERATION Public/Granted day:2017-10-05
Information query