1393 search results - page 146 / 279 » Machine Learning by Function Decomposition |
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COLT
1992
Springer
15 years 6 months ago
1992
Springer
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
123
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EUROCOLT
1995
Springer
15 years 6 months ago
1995
Springer
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
132
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AIIDE
2006
15 years 3 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
128
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ICMLA
2009
15 years 6 days ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
120
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...