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ISCI
2008
124views more  ISCI 2008»
14 years 9 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
WSC
2008
14 years 12 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
SAC
2009
ACM
15 years 4 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...
WSC
1997
14 years 10 months ago
Making Better Manufacturing Decisions with AIM
FACTOR/AIM (AIM) is a simulation system designed specifically for use in manufacturing decision support. AIM has been successfully applied to engineering design, scheduling, and p...
Julie N. Ehrlich, William R. Lilegdon
85
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KDD
2009
ACM
175views Data Mining» more  KDD 2009»
15 years 2 months ago
Multi-class protein fold recognition using large margin logic based divide and conquer learning
Inductive Logic Programming (ILP) systems have been successfully applied to solve complex problems in bioinformatics by viewing them as binary classification tasks. It remains an...
Huma Lodhi, Stephen Muggleton, Michael J. E. Stern...