1661 search results - page 33 / 333 » Decision Tree Fields |
103
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CORR
2006
Springer
15 years 1 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
140
Voted
ECML
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
97
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FLAIRS
2004
15 years 3 months ago
2004
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
130
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ICML
2001
IEEE
16 years 2 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
131
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KDD
2003
ACM
16 years 2 months ago
2003
ACM
Decision tree construction is a well studied problem in data mining. Recently, there has been much interest in mining streaming data. Domingos and Hulten have presented a one-pass...