2683 search results - page 173 / 537 » Machine learning problems from optimization perspective |
127
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ALT
2009
Springer
15 years 8 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
197
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ICMLA
2004
15 years 6 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
130
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MCS
2005
Springer
15 years 10 months ago
2005
Springer
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
176
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AAAI
2011
14 years 5 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
149
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COCOON
1995
Springer
15 years 8 months ago
1995
Springer
A Craig interpolant of two inconsistent theories is a formula which is true in one and false in the other. This paper gives an eificient method for constructing a Craig interpolant...