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» Ensembles of Fuzzy Classifiers
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EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers
Abstract-- We describe an automatic approach for evaluating interpretability of fuzzy rule-based classifiers. The approach is based on the logical view of fuzzy rules, which are in...
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli
FLAIRS
2004
13 years 8 months ago
Strategies For Fuzzy Inference within Classifier Systems
When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membersh...
Keeley A. Crockett, Zuhair Bandar, David McLean
ECML
2007
Springer
13 years 11 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 7 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ISMIS
2003
Springer
14 years 20 days ago
Evolutionary Computation for Optimal Ensemble Classifier in Lymphoma Cancer Classification
Owing to the development of DNA microarray technologies, it is possible to get thousands of expression levels of genes at once. If we make the effective classification system with ...
Chanho Park, Sung-Bae Cho