3694 search results - page 288 / 739 » Stochastic complexity in learning |
151
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EPIA
2003
Springer
15 years 11 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
161
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KES
1998
Springer
15 years 10 months ago
1998
Springer
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
163
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
We present two novel perturbation-based linkage learning algorithms that extend LINC [5]; a version of LINC optimised for decomposition tasks (oLINC) and a hierarchical version of...
169
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CEC
2005
IEEE
15 years 8 months ago
2005
IEEE
Abstract- Interactive combat games are useful as testbeds for learning systems employing evolutionary computation. Of particular value are games that can be modified to accommodate...
177
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WOA
2001
15 years 8 months ago
2001
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...