10054 search results - page 82 / 2011 » On the Complexity of Function Learning |
128
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
ICTAI
2006
IEEE
15 years 6 months 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...
181
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COLT
1992
Springer
15 years 4 months ago
1992
Springer
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
104
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ICASSP
2010
IEEE
15 years 19 days ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
101
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AAAI
1993
15 years 1 months ago
1993
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...