Expressive Tests for Classification and Regression (Special Issue on Surveys on Discovery Science)

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概要

• 論文の詳細を見る

• We address the problem of computing various types of expressive tests for decision trees and regression trees. Using expressive tests is promising, because it may improve the prediction accuracy of trees, and it may also provide us some hints on scientific discovery. The drawback is that computing an optimal test could be costly. We present a unified framework to approach this problem, and we revisit the design of efficient algorithms for computing important special cases. We also prove that it is intractable to compute an optimal conjunction or disjunction.

• 社団法人電子情報通信学会の論文
• 2000-01-25

著者

• Nakaya Akihiro

  The Institute Of Medical Science The University Of Tokyo

• Morishita Shinichi

  Graduate School Of Frontier Sciences And Institute Of Medical Science The University Of Tokyo

関連論文

• DETERIORATION OF SPINAL REFLEX IN QUAILS ORALLY INGESTING CLIOQUINOL
• Expressive Tests for Classification and Regression (Special Issue on Surveys on Discovery Science)

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