메뉴 건너뛰기




Volumn 227, Issue , 2007, Pages 919-926

Entire regularization paths for graph data

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL COMPOUNDS; DATA PROCESSING; MINING; STATISTICAL METHODS; TRACKING (POSITION); XML;

EID: 34547965333     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273612     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 3
    • 4043167653 scopus 로고    scopus 로고
    • Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds
    • Helma, C., Cramer, T., Kramer, S., & Raedt, L. (2004). Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds. J. Chem. Inf. Comput. Sci., 44, 1402-1411.
    • (2004) J. Chem. Inf. Comput. Sci , vol.44 , pp. 1402-1411
    • Helma, C.1    Cramer, T.2    Kramer, S.3    Raedt, L.4
  • 5
    • 33646238004 scopus 로고    scopus 로고
    • Substructure mining using elaborate chemical representation
    • Kazius, J., Nijssen, S., Kok, J., & Ijzerman, T. B. A. (2006). Substructure mining using elaborate chemical representation. J. Chem. Inf. Model., 46, 597-605.
    • (2006) J. Chem. Inf. Model , vol.46 , pp. 597-605
    • Kazius, J.1    Nijssen, S.2    Kok, J.3    Ijzerman, T.B.A.4
  • 6
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi, R., & John, G. H. (1997). Wrappers for feature subset selection. Artificial Intelligence, 1-2, 273-324.
    • (1997) Artificial Intelligence , vol.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 7
    • 84898968571 scopus 로고    scopus 로고
    • An application of boosting to graph classification
    • L. Saul, Y. Weiss and L. Bottou Eds, Cambridge, MA: MIT Press
    • Kudo, T., Maeda, E., & Matsumoto, Y. (2005). An application of boosting to graph classification. In L. Saul, Y. Weiss and L. Bottou (Eds.), Advances in neural information processing systems 17, 729-736. Cambridge, MA: MIT Press.
    • (2005) Advances in neural information processing systems 17 , pp. 729-736
    • Kudo, T.1    Maeda, E.2    Matsumoto, Y.3
  • 11
    • 31844436348 scopus 로고    scopus 로고
    • Piecewise linear regularized solution paths
    • Stanford University
    • Rosset, S., & Zhu, J. (2003). Piecewise linear regularized solution paths (Technical Report). Stanford University.
    • (2003) Technical Report
    • Rosset, S.1    Zhu, J.2
  • 13
    • 0020752197 scopus 로고
    • A distance measure between attributed relational graphs for pattern recognition
    • Sanfeliu, A., & Fu, K. (1983). A distance measure between attributed relational graphs for pattern recognition. IEEE Trans. Syst. Man Cybern., 13, 353-362.
    • (1983) IEEE Trans. Syst. Man Cybern , vol.13 , pp. 353-362
    • Sanfeliu, A.1    Fu, K.2
  • 16
    • 34547982227 scopus 로고    scopus 로고
    • Technical Report, Department of Computer Science, University of Illinois at Urbana-Champaign
    • Yan, X., & Han, J. (2002b). gSpan: graph-based substructure pattern mining (Technical Report). Department of Computer Science, University of Illinois at Urbana-Champaign.
    • (2002) gSpan: Graph-based substructure pattern mining
    • Yan, X.1    Han, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.