493 search results - page 15 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
120
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ICML
1996
IEEE
15 years 6 months ago
1996
IEEE
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
ICML
1990
IEEE
15 years 6 months ago
1990
IEEE
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...
126
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ICANNGA
2007
Springer
15 years 6 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...
130
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NLP
2000
15 years 5 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
119
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SDM
2010
SIAM
15 years 3 months ago
2010
SIAM
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...