Parallelization of automatic classification systems based on support vector machines: Comparison and application to JET database

Fusion Engineering and Design

Volumn 85, Issue 3-4, 2010, Pages 425-427

  Ramirez J ^a,b   Dormido Canto, S ^b   Vega, J ^a,c  

^a Culham Science Center   (United Kingdom)

^b UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^c CIEMAT   (Spain)

Author keywords

L h transition; MPI; Parallel; SVM

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; SUPPORT VECTOR MACHINES; TRAINING AIRCRAFT;

AUTOMATIC CLASSIFICATION SYSTEMS; CLASSIFICATION SYSTEM; COMPUTATIONAL TIME; L-H TRANSITION; LEARNING MACHINES; PARALLEL; PARALLELIZATION TECHNIQUES; TRAINING DATASET;

FIGHTER AIRCRAFT;

EID: 78049350964     PISSN: 09203796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fusengdes.2009.10.003     Document Type: Article

References (7)

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2. J. Vega, A. Murari, G.A. Rattá, S. González, S. Dormido-Canto, and JET-EFDA Contributors, Progress on statistical learning systems as data mining tools for the creation of automatic databases in Fusion environments, Fusion Engineering and Design 85 (3-4) (2010) 399-402.
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