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Inferential theory of learning : ウィキペディア英語版 | Inferential theory of learning Inferential theory of learning (ITL) is an area of machine learning which describes inferential processes performed by learning agents. ITL has been developed by Ryszard S. Michalski in 1980s. In ITL learning process is viewed as a search (inference) through hypotheses space guided by a specific goal. Results of learning need to be stored, in order to be used in the future. ==References==
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Inferential theory of learning」の詳細全文を読む
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