2934 search results - page 308 / 587 » Hypothesis Spaces for Learning |
209
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PAMI
2008
15 years 6 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
175
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BC
2002
15 years 6 months ago
2002
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
154
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JMLR
2002
15 years 6 months ago
2002
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
180
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ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
171
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CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...