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131
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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 5 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
112
Voted
IWCLS
2007
Springer
15 years 8 months ago
Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS
Abstract. This paper provides a deep insight into the learning mechanisms of UCS, a learning classifier system (LCS) derived from XCS that works under a supervised learning scheme...
Albert Orriols-Puig, Ester Bernadó-Mansilla
118
Voted
IWCLS
2007
Springer
15 years 8 months ago
Evolving Fuzzy Rules with UCS: Preliminary Results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. FuzzyUCS combines the generalization capabilities of UCS w...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
136
Voted
ICDM
2006
IEEE
152views Data Mining» more  ICDM 2006»
15 years 8 months ago
Application of Graph-based Data Mining to Metabolic Pathways
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
122
Voted
CIKM
2000
Springer
15 years 7 months ago
Analyzing the Effectiveness and Applicability of Co-training
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
Kamal Nigam, Rayid Ghani