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» Fuzzy sets in machine learning and data mining
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ECML
2006
Springer
13 years 11 months ago
Diversified SVM Ensembles for Large Data Sets
Ivor W. Tsang, András Kocsor, James T. Kwok
ICCBR
2001
Springer
13 years 12 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
14 years 1 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
20
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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 12 days ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong