2665 search results - page 207 / 533 » Bundle Methods for Machine Learning |
103
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ALT
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
135
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ECML
2004
Springer
15 years 8 months ago
2004
Springer
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
134
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ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
15 years 6 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
134
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AAAI
2011
14 years 2 months ago
2011
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
155
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COLING
1992
15 years 3 months ago
1992
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...