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» Intelligent Feature Extraction for Ensemble of Classifiers
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ADBIS
2003
Springer
108views Database» more  ADBIS 2003»
13 years 10 months ago
Dynamic Integration of Classifiers in the Space of Principal Components
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen...
ICTAI
2005
IEEE
13 years 11 months ago
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
ICMCS
2010
IEEE
212views Multimedia» more  ICMCS 2010»
13 years 6 months ago
Homogeneous segmentation and classifier ensemble for audio tag annotation and retrieval
Audio tags describe different types of musical information such as genre, mood, and instrument. This paper aims to automatically annotate audio clips with tags and retrieve releva...
Hung-Yi Lo, Ju-Chiang Wang, Hsin-Min Wang
AAAI
2006
13 years 6 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
IEEEICCI
2009
IEEE
13 years 12 months ago
Classifier ensemble based analysis of a genome-wide SNP dataset concerning Late-Onset Alzheimer Disease
The OpenBiomind toolkit is used to apply GA, GP and local search methods to analyze a large SNP dataset concerning late-onset Alzheimers disease (LOAD). Classification models iden...
Lúcio de Souza Coelho, Ben Goertzel, Cassio...