Large scale classification with support vector machine algorithms

Proceedings - 6th International Conference on Machine Learning and Applications, ICMLA 2007

Volumn , Issue , 2007, Pages 7-12

  Do, Thanh Nghi ^a   Fekete, Jean Daniel ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHMS; DATA POINTS; DATA-SETS; FOREST COVERS; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; INTERNATIONAL CONFERENCES; LAG RANGE; LARGE DATASETS; LARGE SCALES; LEAST SQUARES SUPPORT VECTOR MACHINE (LS SVM); MACHINE-LEARNING; NUMBER OF DATA (ND); NUMERICAL TESTING; REUTERS-21578; STATE-OF-THE-ART ALGORITHMS; SUPPORT VECTOR MACHINE (SVM) ALGORITHMS; SUPPORT VECTOR MACHINES (SVM) ALGORITHMS; TIKHONOV REGULARIZATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; PERSONAL COMPUTERS; RESEARCH AIRCRAFT; ROBOT LEARNING; STANDARDS; TWO PHASE FLOW; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 47349118401     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.57     Document Type: Conference Paper

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