On-Line Learning Methods for Gaussion Processes

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概要

• 論文の詳細を見る

• We propose two modifications of Gaussian processes, which aim to deal with dynamic environments. One is a weight decay method that gradually forgets old data, and the other is a time stamp method that regards the time course of data as a Gaussian process. We show experimental results when these modifications are applied to regression problems in dynamic environments. The weight decay method is found to follow the environmental change by automatically ignoring the past data, and the time stamp method is found to predict linear alteration.

• 社団法人電子情報通信学会の論文
• 2003-03-01

著者

• Ishii Shin

  Nara Inst. Of Sci. And Technol. 8916-5 Takayama-cho Ikoma Nara 630-0192 Jpn

• Oba Shigeyuki

  Nara Institute Of Science And Technology

• Sato Masa-aki

  Atr International

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