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173
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COLT
2001
Springer
15 years 11 months ago
2001
Springer
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
184
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EUROCOLT
1999
Springer
15 years 11 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
181
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Clustering aims to find useful hidden structures in data. In this paper we present a new clustering algorithm that builds upon the consistency method (Zhou, et.al., 2003), a semi-...
236
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
201
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ACML
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...