254 search results - page 18 / 51 » Multi-interval Discretization Methods for Decision Tree Lear... |
109
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JMLR
2010
14 years 8 months ago
2010
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
FLAIRS
2007
15 years 4 months ago
2007
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
129
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CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
117
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ILP
2004
Springer
15 years 7 months ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
152
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EWCBR
2000
Springer
15 years 5 months ago
2000
Springer
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...