216 search results - page 9 / 44 » Decision Tree with Better Ranking |
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
JMLR
2008
13 years 9 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
ROBOCUP
2004
Springer
14 years 3 months ago
2004
Springer
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
KDD
2010
ACM
14 years 1 months ago
2010
ACM
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
ICLP
1992
Springer
14 years 1 months ago
1992
Springer
: Whiledecision tree compilationis a promisingway tocarry out guard tests e ciently, the methods given in the literature do not take into account either the execution characteristi...