1854 search results - page 88 / 371 » On Kernel Methods for Relational Learning |
131
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
146
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NIPS
2008
15 years 4 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
107
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IJON
2007
15 years 3 months ago
2007
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
130
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ICANN
2001
Springer
15 years 7 months ago
2001
Springer
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
185
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CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...