Reliability of cross-validation for SVMs in high-dimensional, low sample size scenarios

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

Volumn 5163 LNCS, Issue PART 1, 2008, Pages 41-50

  Klement, Sascha ^a   Madany Mamlouk, Amir ^a   Martinetz, Thomas ^a  

^a UNIVERSITY OF LÜBECK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; DATA SETS; GENERALISATION; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL; NOT GIVEN; SAMPLE SIZES; SIDE EFFECT; SIMULATED DATA;

BACKPROPAGATION; CLASSIFIERS; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 58849144398     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_5     Document Type: Conference Paper

References (8)

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