936 search results - page 89 / 188 » Experimental Comparison of Feature Subset Selection Methods |
162
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IJBRA
2007
15 years 6 months ago
2007
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
174
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NIPS
2007
15 years 7 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
166
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ICSAP
2010
15 years 10 months ago
2010
— When sensors are redundantly deployed, a subset of sensors should be selected to actively monitor the field (referred to as a "cover"), while the rest of the sensors ...
183
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JCP
2008
15 years 6 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
184
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TCBB
2010
15 years 28 days ago
2010
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...