5860 search results - page 754 / 1172 » Learning and Domain Adaptation |
174
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ICML
2008
IEEE
16 years 8 months ago
2008
IEEE
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
178
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ICML
2006
IEEE
16 years 8 months ago
2006
IEEE
In this paper we study a new framework introduced by Vapnik (1998) and Vapnik (2006) that is an alternative capacity concept to the large margin approach. In the particular case o...
182
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ICML
2005
IEEE
16 years 8 months ago
2005
IEEE
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
188
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ICML
2004
IEEE
16 years 8 months ago
2004
IEEE
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...
161
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ICML
2003
IEEE
16 years 8 months ago
2003
IEEE
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...