123
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
109
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
101
click to vote
ECML
2006
Springer
15 years 6 months ago
2006
Springer
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
120
click to vote
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
ECML
2006
Springer
15 years 6 months ago
2006
Springer