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ICML
2004
IEEE
14 years 8 months ago
Decision trees with minimal costs
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
Charles X. Ling, Qiang Yang, Jianning Wang, Shicha...
WWW
2005
ACM
14 years 8 months ago
Focused crawling by exploiting anchor text using decision tree
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...
Jun Li, Kazutaka Furuse, Kazunori Yamaguchi
JAIR
2011
134views more  JAIR 2011»
13 years 2 months ago
Scaling up Heuristic Planning with Relational Decision Trees
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...
Tomás de la Rosa, Sergio Jiménez, Ra...
SAC
2006
ACM
14 years 1 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
ECCV
2008
Springer
14 years 9 months ago
Implementing Decision Trees and Forests on a GPU
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
Toby Sharp