3624 search results - page 169 / 725 » Learning to learn: From smart machines to intelligent machin... |
143
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GECCO
2005
Springer
16 years 2 days 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 ...
170
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GECCO
2005
Springer
16 years 2 days ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
167
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ICTAI
2006
IEEE
16 years 17 days ago
2006
IEEE
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
165
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
147
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...