[1] |
蒋强荣. 图核及其在模式识别中应用的研究[D]. 北京工业大学, 2011.
|
[2] |
SHARAN R, IDEKER T. Modeling cellular machinery through biological network comparison [J]. Nature Biotechnology, 2006, 24(4): 427-433.
|
[3] |
KUBINYI H. Drug research: Myths, hype and reality[J]. Nature Reviews: Drug Discovery, 2003, 2(8): 665-668.
|
[4] |
KUMAR R, NOVAK J, TOMKINS A. Structure and evolution of online social networks[A]// Link Mining: Models, Algorithms, and Applications. New York: Springer, 2010: 337-357.
|
[5] |
VISHWANATHAN S V N, SCHRAUDOLPH NN, KONDOR R, et al. Graph kernels[J]. Journal of Machine Learning Research, 2010, 11(2): 1201-1242.
|
[6] |
CONTE D, FOGGIA P, SANSONE C, et al. Thirty years of graph matching in pattern recognition[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2004, 18(3): 265-298.
|
[7] |
吴遐, 张道强. 半监督图核降维方法[J]. 计算机科学与探索, 2010, 4(7): 629-636.
|
[8] |
BORGWARDT K M, KRIEGEL H P. Shortest-path kernels on graphs[C]// Proceedings of the 5th International Conference on Data Mining. Houston: IEEE Computer Society, 2005:74-81.
|
[9] |
HORVTH T, GRTNER T, WROBEL S. Cyclic pattern kernels for predictive graph mining[C]// Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle: ACM Press, 2004: 158-167.
|
[10] |
SHERVASHIDZE N, BORGWARDT K. Fast subtree kernels on graphs[A]// Advances in Neural Information Processing Systems. Vancouver, 2009: 1660-1668.
|
[11] |
KRAMER S, DE RAEDT L. Feature construction with version spaces for biochemical applications[C]// Proceedings of the 18th International Conference on Machine Learning. Williamstown: Morgan Kaufmann, 2001: 258-265.
|
[12] |
吴遐. 基于约束的图核方法的研究[D]. 南京航空航天大学, 2011.
|
[13] |
MIKA S,RTSCH G, WESTON J, et al. Fisher discriminant analysis with kernels[C]// Proceedings of the Neural Networks for Signal Processing. IEEE Press, 1999: 41-48.
|
[14] |
SHERVASHIDZE N, SCHWEITZER P, VAN LEEUWEN E J, et al. Weisfeiler-lehman graph kernels[J]. Journal of Machine Learning Research, 2011, 12(9): 2539-2561.
|
[15] |
DUDA R O, HART P E, STORK D G. Pattern Classification[M]. 2ed, New York: Wiley-Interscience, 2000.
|
[16] |
SCHLKOPF B, HERBRICH R, SMOLA A J. A Generalized Representer Theorem[A]// Computational Learning Theory. Berlin Heidelberg: Springer, 2001: 416-426.
|
[17] |
HELMA C, KING R D, KRAMER S, et al. The predictive toxicology challenge[J]. Bioinformatics, 2001, 17(1): 107-108.
|
[18] |
SCHLKOPF B, SMOLA A J. Learning with Kernels[M]. Cambridge, MA: MIT Press, 2002.)
|
[1] |
蒋强荣. 图核及其在模式识别中应用的研究[D]. 北京工业大学, 2011.
|
[2] |
SHARAN R, IDEKER T. Modeling cellular machinery through biological network comparison [J]. Nature Biotechnology, 2006, 24(4): 427-433.
|
[3] |
KUBINYI H. Drug research: Myths, hype and reality[J]. Nature Reviews: Drug Discovery, 2003, 2(8): 665-668.
|
[4] |
KUMAR R, NOVAK J, TOMKINS A. Structure and evolution of online social networks[A]// Link Mining: Models, Algorithms, and Applications. New York: Springer, 2010: 337-357.
|
[5] |
VISHWANATHAN S V N, SCHRAUDOLPH NN, KONDOR R, et al. Graph kernels[J]. Journal of Machine Learning Research, 2010, 11(2): 1201-1242.
|
[6] |
CONTE D, FOGGIA P, SANSONE C, et al. Thirty years of graph matching in pattern recognition[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2004, 18(3): 265-298.
|
[7] |
吴遐, 张道强. 半监督图核降维方法[J]. 计算机科学与探索, 2010, 4(7): 629-636.
|
[8] |
BORGWARDT K M, KRIEGEL H P. Shortest-path kernels on graphs[C]// Proceedings of the 5th International Conference on Data Mining. Houston: IEEE Computer Society, 2005:74-81.
|
[9] |
HORVTH T, GRTNER T, WROBEL S. Cyclic pattern kernels for predictive graph mining[C]// Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle: ACM Press, 2004: 158-167.
|
[10] |
SHERVASHIDZE N, BORGWARDT K. Fast subtree kernels on graphs[A]// Advances in Neural Information Processing Systems. Vancouver, 2009: 1660-1668.
|
[11] |
KRAMER S, DE RAEDT L. Feature construction with version spaces for biochemical applications[C]// Proceedings of the 18th International Conference on Machine Learning. Williamstown: Morgan Kaufmann, 2001: 258-265.
|
[12] |
吴遐. 基于约束的图核方法的研究[D]. 南京航空航天大学, 2011.
|
[13] |
MIKA S,RTSCH G, WESTON J, et al. Fisher discriminant analysis with kernels[C]// Proceedings of the Neural Networks for Signal Processing. IEEE Press, 1999: 41-48.
|
[14] |
SHERVASHIDZE N, SCHWEITZER P, VAN LEEUWEN E J, et al. Weisfeiler-lehman graph kernels[J]. Journal of Machine Learning Research, 2011, 12(9): 2539-2561.
|
[15] |
DUDA R O, HART P E, STORK D G. Pattern Classification[M]. 2ed, New York: Wiley-Interscience, 2000.
|
[16] |
SCHLKOPF B, HERBRICH R, SMOLA A J. A Generalized Representer Theorem[A]// Computational Learning Theory. Berlin Heidelberg: Springer, 2001: 416-426.
|
[17] |
HELMA C, KING R D, KRAMER S, et al. The predictive toxicology challenge[J]. Bioinformatics, 2001, 17(1): 107-108.
|
[18] |
SCHLKOPF B, SMOLA A J. Learning with Kernels[M]. Cambridge, MA: MIT Press, 2002.)
|