2934 search results - page 272 / 587 » Hypothesis Spaces for Learning |
195
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UAI
2008
15 years 8 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
165
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DAGSTUHL
2004
15 years 8 months ago
2004
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is base...
150
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ICAI
2004
15 years 8 months ago
2004
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
166
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NIPS
2003
15 years 8 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
152
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...