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178
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ICML
2004
IEEE
16 years 7 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...
141
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ICML
2003
IEEE
16 years 7 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...
187
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
158
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ICML
1997
IEEE
16 years 7 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
173
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ICML
1996
IEEE
16 years 7 months ago
1996
IEEE
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...