1106 search results - page 88 / 222 » On regularization algorithms in learning theory |
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CONCUR
2006
Springer
15 years 7 months ago
2006
Springer
In regular inference, the problem is to infer a regular language, typically represented by a deterministic finite automaton (DFA) from answers to a finite set of membership querie...
144
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
134
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GECCO
2007
Springer
15 years 11 months ago
2007
Springer
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
152
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
160
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JAIR
2008
15 years 5 months ago
2008
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...