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TASK-ORIENTED MACHINE LEARNING AND A CONFIGURABLE TOOL THEREOF ON A COMPUTING ENVIRONMENT
TASK-ORIENTED MACHINE LEARNING AND A CONFIGURABLE TOOL THEREOF ON A COMPUTING ENVIRONMENT
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机译:面向任务的机器学习和在计算环境中的可配置工具
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摘要
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.
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