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Volumn , Issue , 2009, Pages 2653-2658

A GA-SVM feature selection model based on high performance computing techniques

Author keywords

Genetic algorithm; HPC; Support vector machine

Indexed keywords

CHEMINFORMATICS; COMPUTATIONAL COSTS; DATA PARALLELIZATION; FEATURE SELECTION; FINANCIAL FORECASTING; HEURISTIC TECHNIQUES; HIGH PERFORMANCE COMPUTING; HPC; LARGE-SCALE DATASETS; LEARNING PERFORMANCE; MULTI-THREADING; PARALLELIZATIONS;

EID: 74849101555     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2009.5346120     Document Type: Conference Paper
Times cited : (3)

References (14)
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  • 5
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    • Tanese, R.1
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    • Platt, J.1
  • 10
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.