Supervised Learning in Neural Networks
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چکیده
Supervised Learning scenarios arise reasonably seldom in real life. They are situations in which an agent (e.g. human) performs many similar tasks, or many similar steps of a longer task, and receives frequent and detailed feedback : after each step, the agent learns a) whether or not her action was correct, and, in addition, b) the action that should have been performed. In real life, this type of feedback is not only rare, but annoying. Few people wish to have their every move corrected.
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تاریخ انتشار 2010