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Volumn 227, Issue , 2007, Pages 855-862

A kernel-based causal learning algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; COVARIANCE MATRIX; HILBERT SPACES; MATHEMATICAL OPERATORS; PERSONAL COMPUTERS; STATISTICAL METHODS;

EID: 34547987167     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273604     Document Type: Conference Paper
Times cited : (60)

References (24)
  • 1
    • 5844297152 scopus 로고
    • Theory of reproducing kernels
    • Aronszajn, N. (1950). Theory of reproducing kernels. Trans. of the Am. Math. Soc., 68, 337-404.
    • (1950) Trans. of the Am. Math. Soc , vol.68 , pp. 337-404
    • Aronszajn, N.1
  • 2
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • Bach, F., & Jordan, M. (2002). Kernel independent component analysis. J. of Mach. Learning Res., 3, 1-48.
    • (2002) J. of Mach. Learning Res , vol.3 , pp. 1-48
    • Bach, F.1    Jordan, M.2
  • 3
    • 84966251435 scopus 로고
    • Joint measures and cross-covariance operators
    • Baker, C. (1973). Joint measures and cross-covariance operators. Trans. of the Am. Math. Soc., 186, 273-289.
    • (1973) Trans. of the Am. Math. Soc , vol.186 , pp. 273-289
    • Baker, C.1
  • 4
    • 0036567524 scopus 로고    scopus 로고
    • Learning Bayesian networks from data: An informationtheory based approach
    • Cheng, J., Greiner, R., Kelly, J., Bell, D., & Liu, W. (2002). Learning Bayesian networks from data: An informationtheory based approach. Art. Intl. J., 137, 43-90.
    • (2002) Art. Intl. J , vol.137 , pp. 43-90
    • Cheng, J.1    Greiner, R.2    Kelly, J.3    Bell, D.4    Liu, W.5
  • 5
    • 0042967741 scopus 로고    scopus 로고
    • Optimal structure identification with greedy search
    • Chickering, D. (2003). Optimal structure identification with greedy search. J. of Mach. Learning Res., 3, 507-554.
    • (2003) J. of Mach. Learning Res , vol.3 , pp. 507-554
    • Chickering, D.1
  • 6
    • 33646082044 scopus 로고    scopus 로고
    • On the incompatibility of faithfulness and monotone DAG faithfulness
    • Chickering, D., & Meek, C. (2006). On the incompatibility of faithfulness and monotone DAG faithfulness. J. of Art. Intl., 170, 653-666.
    • (2006) J. of Art. Intl , vol.170 , pp. 653-666
    • Chickering, D.1    Meek, C.2
  • 7
    • 84933530882 scopus 로고
    • Approximating discrete probability distributions with dependence trees
    • Chow, C., & Liu, C. (1968). Approximating discrete probability distributions with dependence trees. IEEE Trans. on the Information Theory, 14, 462-467.
    • (1968) IEEE Trans. on the Information Theory , vol.14 , pp. 462-467
    • Chow, C.1    Liu, C.2
  • 8
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G., & Herskovits, E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2
  • 9
    • 0041494125 scopus 로고    scopus 로고
    • Efficient SVM training using low-Rank kernel representations
    • Fine, S., & Scheinberg, K. (2001). Efficient SVM training using low-Rank kernel representations. J. of Machine Learning Res., 2, 243-264.
    • (2001) J. of Machine Learning Res , vol.2 , pp. 243-264
    • Fine, S.1    Scheinberg, K.2
  • 10
    • 0014358062 scopus 로고
    • Cigarette smoking and cancers of the urinary tract: Geographic variations in the United States
    • Fraumeni, J. (1970). Cigarette smoking and cancers of the urinary tract: Geographic variations in the United States. J. of the National Cancer Institute, 41, 1205-1211.
    • (1970) J. of the National Cancer Institute , vol.41 , pp. 1205-1211
    • Fraumeni, J.1
  • 11
    • 33847186281 scopus 로고    scopus 로고
    • Statistical consistency of kernel canonical correlation analysis
    • Fukumizu, K., Bach, F., & Gretton, A. (2007). Statistical consistency of kernel canonical correlation analysis. J. of Machine Learning Res., 8, 361-383.
    • (2007) J. of Machine Learning Res , vol.8 , pp. 361-383
    • Fukumizu, K.1    Bach, F.2    Gretton, A.3
  • 12
    • 4544371135 scopus 로고    scopus 로고
    • Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces
    • Fukumizu, K., Bach, F., & Jordan, M. (2004). Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces. J. of Machine Learning Res., 5, 73-99.
    • (2004) J. of Machine Learning Res , vol.5 , pp. 73-99
    • Fukumizu, K.1    Bach, F.2    Jordan, M.3
  • 13
    • 34547965764 scopus 로고    scopus 로고
    • Kernel dimension reduction in regression
    • 715, Dept. of Statistics, University of California, Berkeley
    • Fukumizu, K., Bach, F., & Jordan, M. (2006). Kernel dimension reduction in regression (Technical Report 715). Dept. of Statistics, University of California, Berkeley.
    • (2006) Technical Report
    • Fukumizu, K.1    Bach, F.2    Jordan, M.3
  • 15
    • 0000632751 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical Data
    • San Francisco, CA: Morgan Kaufmann Publishers
    • Heckerman, D., Geiger, D., & Chickering, D. (1994). Learning Bayesian networks: The combination of knowledge and statistical Data. Proc. 10th Conf. Uncertainty in Art. Intl. (pp. 293-301). San Francisco, CA: Morgan Kaufmann Publishers.
    • (1994) Proc. 10th Conf. Uncertainty in Art. Intl , pp. 293-301
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 16
    • 0004193705 scopus 로고
    • Doctoral dissertation, Medical Information Sciences, Stanford University, Stanford, CA
    • Herskovits, E. (1991). Computer-based probabilistic network construction. Doctoral dissertation, Medical Information Sciences, Stanford University, Stanford, CA.
    • (1991) Computer-based probabilistic network construction
    • Herskovits, E.1
  • 17
    • 0001006209 scopus 로고
    • Local computations with probabilities on graphical structures and their application to expert systems
    • Lauritzen, S., & Spiegelhalter, D. (1988). Local computations with probabilities on graphical structures and their application to expert systems. J. of the Royal Statist. Soc Series B (Methodological), 50, 157-224.
    • (1988) J. of the Royal Statist. Soc Series B (Methodological) , vol.50 , pp. 157-224
    • Lauritzen, S.1    Spiegelhalter, D.2
  • 18
    • 33749434592 scopus 로고    scopus 로고
    • BNT structure learning package: Documentation and experiments
    • 2645, Laboratoire PSI, Universitè et INSA de Rouen
    • Leray, P., & Francois, O. (2004). BNT structure learning package: Documentation and experiments (Technical Report FRE CNRS 2645). Laboratoire PSI, Universitè et INSA de Rouen.
    • (2004) Technical Report FRE CNRS
    • Leray, P.1    Francois, O.2
  • 21
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., & Müller, K. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10, 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.3
  • 22
    • 0002979137 scopus 로고
    • An algorithm for fast recovery of sparse causal graphs
    • Spirtes, P., & Glymour, C. (1991). An algorithm for fast recovery of sparse causal graphs. Social Science Computer Review, 9, 67-72.
    • (1991) Social Science Computer Review , vol.9 , pp. 67-72
    • Spirtes, P.1    Glymour, C.2
  • 24
    • 0010786475 scopus 로고    scopus 로고
    • On the influence of the kernel on the consistency of support vector machines
    • Steinwart, I. (2001). On the influence of the kernel on the consistency of support vector machines. J. of Machine Learning Res., 2, 67-93.
    • (2001) J. of Machine Learning Res , vol.2 , pp. 67-93
    • Steinwart, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.