493 search results - page 15 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
ICML
1996
IEEE
14 years 28 days 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
14 years 25 days 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...
ICANNGA
2007
Springer
14 years 19 days 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...
NLP
2000
14 years 10 days 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...
SDM
2010
SIAM
13 years 10 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...