Learning with Partially Labeled and Interdependent Data

Consider the supervised learning task, where the prediction function, which infers a predicted output for a given input, is learned over a finite set of labeled training examples, where each instance of this set is a pair constituted of a vector characterizing an observation in a given vector spac...

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書誌詳細
主要な著者: Amini, Massih-Reza, Usunier, Nicolas
フォーマット: 図書
言語:English
出版事項: Springer 2015
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オンライン・アクセス:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/56140
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