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JAIR
2008
93views more  JAIR 2008»
13 years 9 months ago
Spectrum of Variable-Random Trees
In this paper, we show that a continuous spectrum of randomisation exists, in which most existing tree randomisations are only operating around the two ends of the spectrum. That ...
Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-Hua Zhou
ICML
2004
IEEE
14 years 10 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
PAAPP
2006
85views more  PAAPP 2006»
13 years 9 months ago
A new metric splitting criterion for decision trees
Abstract: We examine a new approach to building decision tree by introducing a geometric splitting criterion, based on the properties of a family of metrics on the space of partiti...
Dan A. Simovici, Szymon Jaroszewicz
ICML
2006
IEEE
14 years 10 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
BIBM
2009
IEEE
164views Bioinformatics» more  BIBM 2009»
14 years 2 months ago
Differential Predictive Modeling for Racial Disparities in Breast Cancer
The primary objective of disparities research is to model the differences across multiple groups and identify the groups that behave significantly different from each other. Indep...
Indranil Palit, Chandan K. Reddy, Kendra L. Schwar...