1364 search results - page 116 / 273 » Sampling Methods for Unsupervised Learning |
111
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IJAR
2008
15 years 2 months ago
2008
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
137
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AAAI
2010
15 years 27 days ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...
135
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ISNN
2004
Springer
15 years 8 months ago
2004
Springer
In this paper, a kernel-based SOM-face method is proposed to recognize expression variant faces under the situation of only one training image per person. Based on the localization...
129
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DSMML
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. Gaussian process prior systems generally consist of noisy measurements of samples of the putatively Gaussian process of interest, where the samples serve to constrain the...
123
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ATAL
2009
Springer
15 years 9 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...