F-SVC: A simple and fast training algorithm soft margin support vector classification

Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

Volumn , Issue , 2008, Pages 339-344

  Tohmé, Mireille ^a,b   Lengellé, Régis ^b  

^a FORENAP   (France)

^b UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

Classification; Support vector machines; Training algorithm

Indexed keywords

ELECTRIC NETWORK TOPOLOGY; HEURISTIC ALGORITHMS; IMAGE RETRIEVAL; LEARNING SYSTEMS; OPTIMIZATION; ROBOT LEARNING; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; TECHNICAL PRESENTATIONS; VECTORS;

CLASSIFICATION; GRAM MATRIXES; ITERATIVE ALGORITHMS; LARGE DATA SETS; MACHINE LEARNINGS; OBJECTIVE FUNCTIONS; OPTIMIZATION ALGORITHMS; QUADRATIC FUNCTIONS; QUADRATIC OPTIMIZATION PROBLEMS; SOFT MARGINS; STEP SIZES; SUPPORT VECTOR CLASSIFICATIONS; TRAINING ALGORITHM; TRAINING SETS; TRAINING TIMES;

LEARNING ALGORITHMS;

EID: 58049141970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2008.4685503     Document Type: Conference Paper

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