989 search results - page 71 / 198 » Classification and regression trees |
141
Voted
ICANNGA
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
123
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BMCBI
2005
15 years 4 months ago
2005
Abstract. Taxonomy provides one of the most powerful ways to navigate sequence data bases but currently, users are forced to formulate queries according to a single taxonomic class...
145
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CAIP
2009
Springer
15 years 8 months ago
2009
Springer
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
142
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ICDM
2010
IEEE
15 years 2 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
187
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3DIM
2011
IEEE
14 years 4 months ago
2011
IEEE
—Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...