1364 search results - page 215 / 273 » Sampling Methods for Unsupervised Learning |
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ESANN
2006
15 years 15 days ago
2006
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
84
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WCE
2007
15 years 8 days ago
2007
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
103
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TMI
2010
14 years 5 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
109
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BMCBI
2007
14 years 11 months ago
2007
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
IWANN
1999
Springer
15 years 3 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...