Multiple random subset-kernel learning

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

Volumn 6854 LNCS, Issue PART 1, 2011, Pages 343-350

  Nishida, Kenji ^a   Fujiki, Jun ^a   Kurita, Takio ^b  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b HIROSHIMA UNIVERSITY   (Japan)

Author keywords

Kernel Method; Multiple Kernel Learning; Random Sampling; Support Vector Machine

Indexed keywords

KERNEL METHODS; KERNEL WEIGHT; LINEAR SUPPORT VECTOR MACHINES; MULTIPLE KERNEL LEARNING; NUMBER OF SAMPLES; OPTIMAL WEIGHT; RANDOM SAMPLING; SUPPORT VECTOR; TRAINING SAMPLE; KERNEL LEARNING; OPTIMAL KERNELS;

IMAGE ANALYSIS; OPTIMIZATION; SAMPLING;

SUPPORT VECTOR MACHINES;

EID: 80052816878     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23672-3_42     Document Type: Conference Paper

References (11)

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