5046 search results - page 169 / 1010 » Feature Selection from Huge Feature Sets |
164
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SERP
2003
15 years 7 months ago
2003
Feature modeling is commonly used to capture the commonalities and variabilities of systems in a domain during Domain Analysis. The output of feature modeling will be some reusabl...
159
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BMCBI
2007
15 years 6 months ago
2007
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
167
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ICPR
2008
IEEE
16 years 29 days ago
2008
IEEE
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
156
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
205
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ICAISC
2010
Springer
15 years 8 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...