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» Valued Tolerance and Decision Rules
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IJCAI
1997
13 years 7 months ago
Noise-Tolerant Windowing
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in perf...
Johannes Fürnkranz
ECML
2007
Springer
13 years 9 months ago
Ordinal Classification with Decision Rules
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
Krzysztof Dembczynski, Wojciech Kotlowski, Roman S...
ICML
1999
IEEE
14 years 6 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
ISCI
2011
13 years 22 days ago
Sequential covering rule induction algorithm for variable consistency rough set approaches
We present a general rule induction algorithm based on sequential covering, suitable for variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be used f...
Jerzy Blaszczynski, Roman Slowinski, Marcin Szelag
EVOW
2000
Springer
13 years 9 months ago
An Ant Algorithm with a New Pheromone Evaluation Rule for Total Tardiness Problems
Ant Colony Optimization is an evolutionary method that has recently been applied to scheduling problems. We propose an ACO algorithm for the Single Machine Total Weighted Tardiness...
Daniel Merkle, Martin Middendorf