1325 search results - page 152 / 265 » Algorithm Selection using Reinforcement Learning |
116
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ICANN
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
107
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ESWA
2008
15 years 2 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
147
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ANNPR
2006
Springer
15 years 6 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
143
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
140
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CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...