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Volumn , Issue , 2009, Pages 97-100

Learning combination features with L1 regularization

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; DOMAIN KNOWLEDGE; NATURAL LANGUAGE PROCESSING SYSTEMS; REGRESSION ANALYSIS;

EID: 84877666779     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (9)
  • 1
    • 8644229403 scopus 로고    scopus 로고
    • Parameterized generation of labeled datasets for text categorization based on a hierarchical directory
    • Davidov, D., E. Gabrilovich, and S. Markovitch. 2004. Parameterized generation of labeled datasets for text categorization based on a hierarchical directory. In Proc. of SIGIR.
    • (2004) Proc. of SIGIR.
    • Davidov, D.1    Gabrilovich, E.2    Markovitch, S.3
  • 2
    • 34250663051 scopus 로고    scopus 로고
    • Maximum entropy density estimation with generalized regularization and an application to species distribution modeling
    • Dudík, Miroslav, Steven J. Phillips, and Robert E. Schapire. 2007. Maximum entropy density estimation with generalized regularization and an application to species distribution modeling. JMLR, 8:1217–1260.
    • (2007) JMLR , vol.8 , pp. 1217-1260
    • Dudík, Miroslav1    Phillips, Steven J.2    Schapire, Robert E.3
  • 3
    • 34548071816 scopus 로고    scopus 로고
    • Approximation lasso methods for language modeling
    • Gao, J., H. Suzuki, and B. Yu. 2006. Approximation lasso methods for language modeling. In Proc. of ACL/COLING.
    • (2006) Proc. of ACL/COLING.
    • Gao, J.1    Suzuki, H.2    Yu, B.3
  • 4
    • 84860542469 scopus 로고    scopus 로고
    • A comparative study of parameter estimation methods for statistical natural language processing
    • Gao, J., G. Andrew, M. Johnson, and K. Toutanova. 2007. A comparative study of parameter estimation methods for statistical natural language processing. In Proc. of ACL, pages 824–831.
    • (2007) Proc. of ACL , pp. 824-831
    • Gao, J.1    Andrew, G.2    Johnson, M.3    Toutanova, K.4
  • 5
    • 84996469094 scopus 로고    scopus 로고
    • A boosting algorithm for classification of semi-structured text
    • Kudo, T. and Y. Matsumoto. 2004. A boosting algorithm for classification of semi-structured text. In Proc. of EMNLP.
    • (2004) Proc. of EMNLP.
    • Kudo, T.1    Matsumoto, Y.2
  • 6
    • 85121113915 scopus 로고    scopus 로고
    • Feature selection, l1 vs. l2 regularization, and rotational invariance
    • Ng, A. 2004. Feature selection, l1 vs. l2 regularization, and rotational invariance. In NIPS.
    • (2004) NIPS
    • Ng, A.1
  • 7
    • 1942452297 scopus 로고    scopus 로고
    • Online feature selection using grafting
    • Perkins, S. and J. Theeiler. 2003. Online feature selection using grafting. ICML.
    • (2003) ICML
    • Perkins, S.1    Theeiler, J.2
  • 8
    • 34548720347 scopus 로고    scopus 로고
    • Mining complex genotypic features for predicting HIV-1 drug resistance
    • Saigo, H., T. Uno, and K. Tsuda. 2007. Mining complex genotypic features for predicting HIV-1 drug resistance. Bioinformatics, 23:2455–2462.
    • (2007) Bioinformatics , vol.23 , pp. 2455-2462
    • Saigo, H.1    Uno, T.2    Tsuda, K.3
  • 9
    • 85119098424 scopus 로고    scopus 로고
    • Linear-time dependency analysis for japanese
    • Sassano, Manabu. 2004. Linear-time dependency analysis for japanese. In Proc. of COLING.
    • (2004) Proc. of COLING.
    • Sassano, Manabu1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.