2683 search results - page 125 / 537 » Machine learning problems from optimization perspective |
104
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ECML
1998
Springer
15 years 6 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
132
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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...
124
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MCS
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
124
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MOBIHOC
2007
ACM
16 years 2 months ago
2007
ACM
We consider distributed opportunistic scheduling (DOS) in wireless ad-hoc networks, where many links contend for the same channel using random access. In such networks, distribute...
120
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...