An application of low bias bagged SVMs to the classification of heterogeneous malignant tissues

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

Volumn 2859, Issue , 2003, Pages 316-321

  Valentini, Giorgio ^a,b  

^a UNIVERSITY OF MILAN   (Italy)

^b INFM   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; DNA; GENES; HISTOLOGY; MACHINERY; STATISTICAL METHODS; SUPPORT VECTOR MACHINES; TISSUE;

BIOLOGICAL VARIABILITY; BOOTSTRAP AGGREGATING; DATA ANALYSIS METHODS; DNA MICROARRAY GENE EXPRESSION DATUM; FEATURE SELECTION METHODS; SUPPORT VECTOR MACHINE (SVMS); TWO-CLASS CLASSIFICATION PROBLEMS; VARIANCE DECOMPOSITION;

GENE EXPRESSION;

EID: 0142249851     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45216-4_36     Document Type: Article

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