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» Algorithms for optimal dyadic decision trees
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ICML
2004
IEEE
14 years 7 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
COLING
1996
13 years 7 months ago
Decision Tree Learning Algorithm with Structured Attributes: Application to Verbal Case Frame Acquisition
The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
Hideki Tanaka
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
14 years 6 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen
PKDD
2000
Springer
134views Data Mining» more  PKDD 2000»
13 years 9 months ago
Induction of Multivariate Decision Trees by Using Dipolar Criteria
A new approach to the induction of multivariate decision trees is proposed. A linear decision function (hyper-plane) is used at each non-terminal node of a binary tree for splittin...
Leon Bobrowski, Marek Kretowski
ALDT
2009
Springer
181views Algorithms» more  ALDT 2009»
14 years 26 days ago
Optimizing the Hurwicz Criterion in Decision Trees with Imprecise Probabilities
This paper is devoted to sequential decision problems with imprecise probabilities. We study the problem of determining an optimal strategy according to the Hurwicz criterion in de...
Gildas Jeantet, Olivier Spanjaard