2681 search results - page 317 / 537 » Learning to learn with the informative vector machine |
147
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ALT
2010
Springer
15 years 8 months ago
2010
Springer
We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed t...
176
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
140
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We extend the PAC-Bayes theorem to the sample-compression setting where each classifier is represented by two independent sources of information: a compression set which consists ...
174
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
213
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...