Vowel phoneme classification using SMO algorithm for training support Vector Machines

2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA

Volumn , Issue , 2008, Pages

  Boujelbene, Siwar Zribi ^a   Mezghani, Dorra Ben Ayed ^b   Ellouze, Noureddine ^c  

^a Laboratoire Informatique   (Tunisia)

^b UNIVERSITÉ DE TUNIS EL MANAR   (Tunisia)

^c UNIVERSITY OF TUNIS EL MANAR   (Tunisia)

Author keywords

SMO algorithm for training support vector machines; Support vector machines; Vowel phoneme classification

Indexed keywords

CHARACTER RECOGNITION; LEARNING ALGORITHMS; LINGUISTICS; OPTIMIZATION; TEXT PROCESSING; VECTORS;

HAND WRITTEN CHARACTER RECOGNITION; NEURAL NETWORK CLASSIFIER; SEQUENTIAL MINIMAL OPTIMIZATION ALGORITHMS; SMO ALGORITHM FOR TRAINING SUPPORT VECTOR MACHINES; STATE-OF-THE-ART PERFORMANCE; STATISTICAL LEARNING THEORY; STRUCTURE RISK MINIMIZATION; VOWEL PHONEME CLASSIFICATION;

SUPPORT VECTOR MACHINES;

EID: 49149086807     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTTA.2008.4530027     Document Type: Conference Paper

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