2126 search results - page 97 / 426 » An optimization algorithm for imprecise multi-objective prob... |
140
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ML
2006
ACM
15 years 4 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
165
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CDC
2010
IEEE
14 years 11 months ago
2010
IEEE
Over the past few years, a number of distributed algorithms have been developed for integrating the measurements acquired by a wireless sensor network. Among them, average consensu...
125
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CP
2006
Springer
15 years 8 months ago
2006
Springer
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...
150
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
123
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...