1283 search results - page 101 / 257 » Learning Voting Trees |
ILP
2004
Springer
14 years 3 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...
AGI
2008
13 years 11 months ago
2008
In order to claim fully general intelligence in an autonomous agent, the ability to learn is one of the most central capabilities. Classical machine learning techniques have had ma...
WWW
2005
ACM
14 years 10 months ago
2005
ACM
Focused crawlers are considered as a promising way to tackle the scalability problem of topic-oriented or personalized search engines. To design a focused crawler, the choice of s...
ICDIM
2007
IEEE
14 years 4 months ago
2007
IEEE
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
ICANNGA
2007
Springer
14 years 2 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...