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ICDM
2006
IEEE
151views Data Mining» more  ICDM 2006»
13 years 10 months ago
Decision Trees for Functional Variables
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...
Suhrid Balakrishnan, David Madigan
ICML
2005
IEEE
14 years 5 months ago
Generalized skewing for functions with continuous and nominal attributes
This paper extends previous work on skewing, an approach to problematic functions in decision tree induction. The previous algorithms were applicable only to functions of binary v...
Soumya Ray, David Page
IJCAI
2003
13 years 6 months ago
Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
David Page, Soumya Ray
TOC
2010
142views Management» more  TOC 2010»
12 years 11 months ago
Decision Trees and Influence: an Inductive Proof of the OSSS Inequality
: We give a simple proof of the OSSS inequality (O'Donnell, Saks, Schramm, Servedio, FOCS 2005). The inequality states that for any decision tree T calculating a Boolean funct...
Homin K. Lee
ICML
2005
IEEE
14 years 5 months ago
Why skewing works: learning difficult Boolean functions with greedy tree learners
We analyze skewing, an approach that has been empirically observed to enable greedy decision tree learners to learn "difficult" Boolean functions, such as parity, in the...
Bernard Rosell, Lisa Hellerstein, Soumya Ray, Davi...