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This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.
jjs のブックマーク 2009/09/18 19:08
Regularization (mathematics) - Wikipedia[business inteligence][decision][io][process]This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.2009/09/18 19:08
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en.wikipedia.org2009/09/18
The green and blue functions both incur zero loss on the given data points. A learned model can be induced to prefer the green function, which may generalize better to more points drawn from the un...
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This information is usually of the form of a penalty for complexity, such as restrictions for smoothness or bounds on the vector space norm.
このブックマークにはスターがありません。
最初のスターをつけてみよう!
Regularization (mathematics) - Wikipedia
The green and blue functions both incur zero loss on the given data points. A learned model can be induced to prefer the green function, which may generalize better to more points drawn from the un...
4 人がブックマーク・1 件のコメント
\ コメントが サクサク読める アプリです /