1419 search results - page 145 / 284 » Approximation Methods for Supervised Learning |
110
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ICMLC
2005
Springer
15 years 6 months ago
2005
Springer
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
110
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ECML
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
115
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NIPS
2001
15 years 2 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
104
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ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
73
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ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...