On performing classification using SVM with radial basis and polynomial kernel functions

Proceedings - 3rd International Conference on Emerging Trends in Engineering and Technology, ICETET 2010

Volumn , Issue , 2010, Pages 512-515

  Prajapati, Gend Lal ^a   Patle, Arti ^b  

^a Swami Vivekanand College of Engineering   (India)

^b DEVI AHILYA UNIVERSITY   (India)

Author keywords

Feature; Kernel; RBF; Support vector

Indexed keywords

CLASSIFICATION TASKS; FEATURE; HAND-WRITTEN CHARACTERS; KERNEL; KERNEL FUNCTION; LARGE DATASETS; POLYNOMIAL KERNELS; RADIAL BASIS; RADIAL BASIS FUNCTIONS; RBF; REAL-WORLD APPLICATION; SEQUENCE ANALYSIS; STATE-OF-THE-ART PERFORMANCE; STATISTICAL LEARNING THEORY; SUPPORT VECTOR; TEXT CATEGORIZATION;

CHARACTER RECOGNITION; GEARS; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; VECTORS;

TEXT PROCESSING;

EID: 79952325932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICETET.2010.134     Document Type: Conference Paper

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