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» A New Class Based Associative Classification Algorithm
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147
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FUZZIEEE
2007
IEEE
15 years 6 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
BMCBI
2010
176views more  BMCBI 2010»
14 years 12 months ago
Haplotype association analyses in resources of mixed structure using Monte Carlo testing
Background: Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions ...
Ryan Abo, Jathine Wong, Alun Thomas, Nicola J. Cam...
MCS
2004
Springer
15 years 7 months ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
102
Voted
ICC
2007
IEEE
216views Communications» more  ICC 2007»
15 years 8 months ago
Window-Based and Rate-Based Congestion Controls: a Local Stability Analysis under Variable RTT Conditions and the Proposal of an
— This paper mathematically frames the relation between window-based and rate-based congestion control algorithms, when the assumption of variable round-trip time conditions is i...
Michele Borri, Adriano Ferrarini, Maria Luisa Mera...
SIGDIAL
2010
15 years 11 days ago
Towards Semi-Supervised Classification of Discourse Relations using Feature Correlations
Two of the main corpora available for training discourse relation classifiers are the RST Discourse Treebank (RST-DT) and the Penn Discourse Treebank (PDTB), which are both based ...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...