Invention Grant
- Patent Title: Task-oriented machine learning and a configurable tool thereof on a computing environment
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Application No.: US16899681Application Date: 2020-06-12
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Publication No.: US11586919B2Publication Date: 2023-02-21
- Inventor: Yada Zhu , Di Chen , Xiaodong Cui , Upendra Chitnis , Kumar Bhaskaran , Wei Zhang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Daniel P. Morris
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06Q40/00 ; G06Q40/06

Abstract:
A task-based learning using task-directed prediction network can be provided. Training data can be received. Contextual information associated with a task-based criterion can be received. A machine learning model can be trained using the training data. A loss function computed during training of the machine learning model integrates the task-based criterion, and minimizing the loss function during training iterations includes minimizing the task-based criterion.
Public/Granted literature
- US20210397941A1 TASK-ORIENTED MACHINE LEARNING AND A CONFIGURABLE TOOL THEREOF ON A COMPUTING ENVIRONMENT Public/Granted day:2021-12-23
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