Distributed parallel support vector machines in strongly connected networks

IEEE Transactions on Neural Networks

Volumn 19, Issue 7, 2008, Pages 1167-1178

  Lu, Yumao ^a   Roychowdhury, Vwani ^b   Vandenberghe, Lieven ^b  

^a YAHOO INC   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Convergence; Distributed data mining; Parallel computing; Strongly connected networks (SCNs); Support vector machine (SVM)

Indexed keywords

DECISION SUPPORT SYSTEMS; GEARS; IMAGE RETRIEVAL; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; SEARCH ENGINES; SPEED; SUPPORT VECTOR MACHINES;

BASIC IDEA; CASCADE SVM; COMMUNICATION OVERHEADS; COMPUTING TIME; CONFIGURABLE; DISTRIBUTED DATA; DISTRIBUTED DATA MINING (DDM); LIMITED COMMUNICATION; MULTIPLE SERVERS; NETWORK CONFIGURATIONS; NETWORK ENVIRONMENTS; NUMERICA L RESULTS; ON LINE IMPLEMENTATIONS; REAL-WORLD DATA; STATE-OF-THE-ART METHODS; STRONGLY CONNECTED; SUPPORT VECTORS; TRAINING DATA; TRAINING SPEED; TRAINING TIME; VECTOR MACHINES;

VECTORS;

EID: 47549112333     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2007.2000061     Document Type: Article

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