Experience with Rule Induction and k-Nearest Neighbour Methods for Interface Agents that Learn
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منابع مشابه
Experience with Rule Induction and k-Nearest Neighbor Methods for Interface Agents that Learn
Interface agents are being developed to assist users with a variety of tasks. To perform effectively, such agents need knowledge of user preferences. An agent architecture has been developed which observes a user performing tasks, and identifies features which can be used as training data by a learning algorithm. Using the learned profile, an agent can give advice to the user on dealing with ne...
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تاریخ انتشار 1995