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Volumn 10, Issue , 2009, Pages 2615-2637

Hash kernels for structured data

Author keywords

Graphlet kernel; Hashing; Multiclass classification; Stream; String kernel

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

EID: 73549107233     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (191)

References (31)
  • 1
    • 0038166193 scopus 로고    scopus 로고
    • Database-friendly random projections:johnson-lindenstrauss with binary coins
    • June
    • D. Achlioptas. Database-friendly random projections:johnson-lindenstrauss with binary coins. Journal of Computer and System Sciences, 66:671C687, June 2003.
    • (2003) Journal of Computer and System Sciences , vol.66
    • Achlioptas, D.1
  • 2
    • 33746060884 scopus 로고    scopus 로고
    • Unifying divergence minimization and statistical inference via convex duality
    • H.U. Simon and G. Lugosi, editors, LNCS Springer
    • Y. Altun and A.J. Smola. Unifying divergence minimization and statistical inference via convex duality. In H.U. Simon and G. Lugosi, editors, Proc. Annual Conf. Computational Learning Theory, LNCS, pages 139-153. Springer, 2006.
    • (2006) Proc. Annual Conf. Computational Learning Theory , pp. 139-153
    • Altun, Y.1    Smola, A.J.2
  • 4
    • 0014814325 scopus 로고
    • Space/time trade-offs in hash coding with allowable errors
    • July
    • B. H. Bloom. Space/time trade-offs in hash coding with allowable errors. Communications of the ACM, 13:422C426, July 1970.
    • (1970) Communications of the ACM , vol.13
    • Bloom, B.H.1
  • 5
    • 38449122174 scopus 로고    scopus 로고
    • Graph kernels for disease outcome prediction from protein-protein interaction networks
    • Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany Murray, and Teri E Klein, editors, Maui Hawaii, January World Scientific.
    • K. M. Borgwardt, H.-P. Kriegel, S. V. N. Vishwanathan, and N. Schraudolph. Graph kernels for disease outcome prediction from protein-protein interaction networks. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Tiffany Murray, and Teri E Klein, editors, Proceedings of the Pacific Symposium of Biocomputing 2007, Maui Hawaii, January 2007. World Scientific.
    • (2007) Proceedings of the Pacific Symposium of Biocomputing 2007
    • Borgwardt, K.M.1    Kriegel, H.-P.2    Vishwanathan, S.V.N.3    Schraudolph, N.4
  • 6
    • 84898957872 scopus 로고    scopus 로고
    • Improving the accuracy and speed of support vector learning machines
    • M. C. Mozer, M. I. Jordan, and T. Petsche, editors, Cambridge, MA, MIT Press
    • C. J. C. Burges and B. Schölkopf. Improving the accuracy and speed of support vector learning machines. In M. C. Mozer, M. I. Jordan, and T. Petsche, editors, Advances in Neural Information Processing Systems 9, pages 375-381, Cambridge, MA, 1997. MIT Press.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 375-381
    • Burges, C.J.C.1    Schölkopf, B.2
  • 8
    • 0026087709 scopus 로고
    • Structureactivity relationship of mutagenic aromatic and heteroaromatic nitro compounds, correlation with molecular orbital energies and hydrophobicity
    • A. K. Debnath, R. L. Lopez de Compadre, G. Debnath, A. J. Shusterman, and C. Hansch. Structureactivity relationship of mutagenic aromatic and heteroaromatic nitro compounds, correlation with molecular orbital energies and hydrophobicity. J Med Chem, 34:786-797, 1991.
    • (1991) J Med Chem , vol.34 , pp. 786-797
    • Debnath, A.K.1    Lopez De Compadre, R.L.2    Debnath, G.3    Shusterman, A.J.4    Hansch, C.5
  • 9
    • 33745290974 scopus 로고    scopus 로고
    • The Forgetron: A kernel-based perceptron on a fixed budget
    • Y. Weiss, B. Schölkopf, and J. Piatt, editors Cambridge, MA, MIT Press
    • O. Dekel, S. Shalev-Shwartz, and Y. Singer. The Forgetron: A kernel-based perceptron on a fixed budget. In Y. Weiss, B. Schölkopf, and J. Piatt, editors, Advances in Neural Information Processing Systems 18, Cambridge, MA, 2006. MIT Press.
    • (2006) Advances in Neural Information Processing Systems , vol.18
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 10
    • 0041743078 scopus 로고    scopus 로고
    • Distinguishing enzyme structures from non-enzymes without alignments
    • Jul
    • P. D. Dobson and A. J. Doig. Distinguishing enzyme structures from non-enzymes without alignments. J Mol Biol, 330(4):771-783, Jul 2003.
    • (2003) J Mol Biol , vol.330 , Issue.4 , pp. 771-783
    • Dobson, P.D.1    Doig, A.J.2
  • 11
    • 0041494125 scopus 로고    scopus 로고
    • Efficient SVM training using low-rank kernel representations
    • Dec
    • S. Fine and K. Scheinberg. Efficient SVM training using low-rank kernel representations. JMLR, 2:243-264, Dec 2001.
    • (2001) JMLR , vol.2 , pp. 243-264
    • Fine, S.1    Scheinberg, K.2
  • 14
    • 73549085134 scopus 로고    scopus 로고
    • A universal kernel for learning regular languages
    • L. Kontorovich. A universal kernel for learning regular languages. In Machine Learning in Graphs, 2007.
    • (2007) Machine Learning in Graphs
    • Kontorovich, L.1
  • 17
    • 84864064770 scopus 로고    scopus 로고
    • Conditional random sampling: A sketch-based sampling technique for sparse data
    • B. Schölkopf, J. Platt, and T. Hoffman, editors MIT Press, Cambridge, MA
    • P. Li, K.W. Church, and T.J. Hastie. Conditional random sampling: A sketch-based sampling technique for sparse data. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information Processing Systems 19, pages 873-880. MIT Press, Cambridge, MA, 2007.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 873-880
    • Li, P.1    Church, K.W.2    Hastie, T.J.3
  • 18
    • 0242288917 scopus 로고    scopus 로고
    • Technical report, University of Wisconsin, Computer Sciences Department, Madison
    • O. L. Mangasarian. Generalized support vector machines. Technical report, University of Wisconsin, Computer Sciences Department, Madison, 1998.
    • (1998) Generalized Support Vector Machines
    • Mangasarian, O.L.1
  • 19
    • 0004010079 scopus 로고
    • Technical report, Dept. Computer Science, Austral. Nat. Univ.
    • B. D. McKay, nauty user's guide. Technical report, Dept. Computer Science, Austral. Nat. Univ., 1984.
    • (1984) Nauty User's Guide.
    • McKay, B.D.1
  • 20
    • 38249002613 scopus 로고
    • A note on uniform laws of averages for dependent processes
    • A. Nobel and A. Dembo. A note on uniform laws of averages for dependent processes. Statistics and Probability Letters, 17:169-172, 1993.
    • (1993) Statistics and Probability Letters , vol.17 , pp. 169-172
    • Nobel, A.1    Dembo, A.2
  • 21
    • 33846672214 scopus 로고    scopus 로고
    • Biological network comparison using graphlet degree distribution
    • Jan
    • N. Przulj. Biological network comparison using graphlet degree distribution. Bioinformatics, 23 (2):e177-e183, Jan 2007.
    • (2007) Bioinformatics , vol.23 , Issue.2
    • Przulj, N.1
  • 22
    • 85161980201 scopus 로고    scopus 로고
    • Random features for large-scale kernel machines
    • J.C. Piatt, D. Koller, Y. Singer, and S. Roweis, editors, MIT Press, Cambridge, MA
    • A. Rahimi and B. Recht. Random features for large-scale kernel machines. In J.C. Piatt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Information Processing Systems 20. MIT Press, Cambridge, MA, 2008.
    • (2008) Advances in Neural Information Processing Systems , vol.20
    • Rahimi, A.1    Recht, B.2
  • 23
    • 0003893955 scopus 로고    scopus 로고
    • R. Oldenbourg Verlag, Munich
    • B. Schölkopf. Support Vector Learning. R. Oldenbourg Verlag, Munich, 1997. Download: http://www.kernel-machines.org.
    • (1997) Support Vector Learning
    • Schölkopf, B.1
  • 26
    • 33749250953 scopus 로고    scopus 로고
    • Fast and space efficient string kernels using suffix arrays
    • New York, NY, USA, ACM Press. ISBN 1-59593-383-2. doi:http://doi.acm.org/ 10.1145/1143844.1143961
    • C. H. Teo and S. V. N. Vishwanathan. Fast and space efficient string kernels using suffix arrays. In ICML '06: Proceedings of the 23rd international conference on Machine learning, pages 929-936, New York, NY, USA, 2006. ACM Press. ISBN 1-59593-383-2. doi:http://doi.acm.org/10.1145/1143844.1143961.
    • (2006) ICML '06: Proceedings of the 23rd International Conference on Machine Learning , pp. 929-936
    • Teo, C.H.1    Vishwanathan, S.V.N.2
  • 27
    • 0037818351 scopus 로고    scopus 로고
    • Statistical evaluation of the predictive toxicology challenge 2000-2001
    • July
    • H. Toivonen, A. Srinivasan, R. D. King, S. Kramer, and C. Helma. Statistical evaluation of the predictive toxicology challenge 2000-2001. Bioinformatics, 19(10):1183-1193, July 2003.
    • (2003) Bioinformatics , vol.19 , Issue.10 , pp. 1183-1193
    • Toivonen, H.1    Srinivasan, A.2    King, R.D.3    Kramer, S.4    Helma, C.5
  • 28
    • 1642338802 scopus 로고    scopus 로고
    • Marginalized kernels for biological sequences
    • K. Tsuda, T. Kin, and K. Asai. Marginalized kernels for biological sequences. Bioinformatics, 18 (Suppl. 2):S268-S275, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL. 2
    • Tsuda, K.1    Kin, T.2    Asai, K.3
  • 30
    • 33846637208 scopus 로고    scopus 로고
    • Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes
    • S. V. N. Vishwanathan, A. J. Smola, and R. Vidal. Binet-Cauchy kernels on dynamical systems and its application to the analysis of dynamic scenes. International Journal of Computer Vision, 73 (1):95-119, 2007b.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.1 , pp. 95-119
    • Vishwanathan, S.V.N.1    Smola, A.J.2    Vidal, R.3
  • 31
    • 0002531715 scopus 로고    scopus 로고
    • Dynamic alignment kernels
    • A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
    • C. Watkins. Dynamic alignment kernels. In A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 39-50, Cambridge, MA, 2000. MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 39-50
    • Watkins, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.