2898 search results - page 401 / 580 » Ensemble Methods in Machine Learning |
134
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
125
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
118
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
As text corpora become larger, tradeoffs between speed and accuracy become critical: slow but accurate methods may not complete in a practical amount of time. In order to make the...
102
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a fast iterative support vector training algorithm for a large variety of different formulations. It works by incrementally changing a candidate support vector set usin...
153
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ICML
1998
IEEE
16 years 4 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...