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» Learning DNF by Decision Trees
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ALGORITHMICA
1998
76views more  ALGORITHMICA 1998»
15 years 5 months ago
On Learning Decision Trees with Large Output Domains
Nader H. Bshouty, Christino Tamon, David K. Wilson
COLT
1992
Springer
15 years 10 months ago
Learning Switching Concepts
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...
Avrim Blum, Prasad Chalasani
ICTAI
1999
IEEE
15 years 10 months ago
Controlled Flux Results in Stable Decision Trees
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
Dimitrios Kalles, Athanassios Papagelis
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
15 years 11 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
JMLR
2002
102views more  JMLR 2002»
15 years 5 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf