5595 search results - page 292 / 1119 » Approximation Algorithms for Clustering Problems |
164
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AUSAI
2005
Springer
16 years 6 days ago
2005
Springer
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
176
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
181
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ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
181
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IJCAI
1997
15 years 8 months ago
1997
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
228
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STOC
2006
ACM
16 years 7 months ago
2006
ACM
We introduce a new low-distortion embedding of d 2 into O(log n) p (p = 1, 2), called the Fast-Johnson-LindenstraussTransform. The FJLT is faster than standard random projections ...