Improving Support Vector Classification via the Combination of Multiple Sources of Information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3138, Issue , 2004, Pages 592-600

  Moguerza, Javier M ^a   Muñoz, Alberto ^a   De Diego, Isaac Martín ^b  

^a UNIVERSIDAD REY JUAN CARLOS   (Spain)

^b UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

MATRIX ALGEBRA; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

CONDITIONAL PROBABILITIES; KERNEL MATRICES; LINEAR COMBINATIONS; MULTIPLE SOURCE; NEAREST NEIGHBOUR; REAL DATA SETS; SUPPORT VECTOR CLASSIFICATION; SUPPORT VECTOR MACHINE (SVMS);

CLASSIFICATION (OF INFORMATION);

EID: 33749602503     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27868-9_64     Document Type: Article

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