3050 search results - page 199 / 610 » On-line Algorithms in Machine Learning |
127
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COLT
2006
Springer
15 years 7 months ago
2006
Springer
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Eff...
139
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
114
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
This paper argues that severe class imbalance is not just an interesting technical challenge that improved learning algorithms will address, it is much more serious. To be useful, ...
130
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ML
2007
ACM
15 years 3 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
120
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ALT
1999
Springer
15 years 8 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...