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A LEARNING ALGORITHM USING SPECTRUM THEORY
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- Sonohara Hikaru
- Systems & Software Engineering Laboratory, Research & Development Center, Toshiba Co.
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- Tsukimoto Hiroshi
- Systems & Software Engineering Laboratory, Research & Development Center, Toshiba Co.
Bibliographic Information
- Other Title
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- スペクトル理論を用いた学習アルゴリズムについて
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Description
As learning and prediction methods from numerical data, for example, linear regression analysis has been used. We have been studying non-linear regression analysis algorithms. In 1993, Linial presented a learning algorithm based on spectrum theory (Fourier analysis for Boolean functions). In this paper, we extend the spectrum theory and the learning algorithm to continuous domains in order to deal with numerical data. We experimentally confirm that the extended algorithm works well compared with Linial's algorithm.
Journal
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- 情報処理学会研究報告. 人工知能研究会報告
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情報処理学会研究報告. 人工知能研究会報告 96 (36), 1-8, 1996-05-14
Information Processing Society of Japan (IPSJ)
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Details 詳細情報について
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- CRID
- 1571417127079861120
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- NII Article ID
- 110002674888
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- NII Book ID
- AN10464118
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- ISSN
- 09196072
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- Text Lang
- ja
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- Data Source
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- CiNii Articles