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Volumn 18, Issue , 2017, Pages 1-5

Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA

Author keywords

Feature Selection; Hyperparameter Optimization; Model Selection

Indexed keywords

FEATURE EXTRACTION; LEARNING SYSTEMS; OPTIMIZATION;

EID: 85020694807     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (505)

References (11)
  • 2
    • 84869826137 scopus 로고    scopus 로고
    • A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning
    • abs/1012.2599
    • E. Brochu, V. Cora, and N. de Freitas. A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. Computing Research Repository (arXiv), abs/1012.2599, 2010.
    • (2010) Computing Research Repository (arxiv)
    • Brochu, E.1    Cora, V.2    De Freitas, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.