45 search results - page 1 / 9 » Decision Trees Using the Minimum Entropy-of-Error Principle |
CAIP
2009
Springer
13 years 10 months ago
2009
Springer
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
IPMU
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper we introduce a new approach to automatic attribute and granularity selection for building optimum regression trees. The method is based on the minimum descr...
AUSAI
2004
Springer
14 years 25 days ago
2004
Springer
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
JCB
2002
13 years 7 months ago
2002
This paper investigates the standard ordinary least-squares version 24 and the balanced version 20 of the minimum evolution principle. For the standard version, we provide a greedy...
FCS
2006
13 years 8 months ago
2006
Probabilistic (or randomized) decision trees can be used to compute Boolean functions. We consider two types of probabilistic decision trees - one has a certain probability to give...