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Volumn , Issue , 2012, Pages 2137-2140

Fast lasso screening tests based on correlations

Author keywords

Algorithms; Machine learning; Optimization

Indexed keywords

CODE-WORDS; DOME TEST; LINEAR COMBINATIONS; MEMORY FOOTPRINT; OPTIMAL SPARSE REPRESENTATIONS; SCREENING TESTS;

EID: 84867618246     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288334     Document Type: Conference Paper
Times cited : (84)

References (8)
  • 7
    • 38049108135 scopus 로고    scopus 로고
    • Fast optimization methods for L1 regularization: A comparative study and two new approaches
    • Mark Schmidt, Glenn Fung, and Rómer Rosales, "Fast optimization methods for L1 regularization: a comparative study and two new approaches," Machine Learning: ECML 2007, vol. 4701, pp. 286-297, 2007.
    • (2007) Machine Learning: ECML 2007 , vol.4701 , pp. 286-297
    • Schmidt, M.1    Fung, G.2    Rosales, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.