Suchergebnisse

Zeitschriftenartikel (13)

  1. 1.
    Zeitschriftenartikel
    Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Two-Sample Test. Journal of Machine Learning Research 13, S. 723 - 773 (2012)
  2. 2.
    Zeitschriftenartikel
    Song, L.; Smola, A.; Gretton, A.; Bedo, J.; Borgwardt, K.: Feature Selection via Dependence Maximization. Journal of Machine Learning Research 13, S. 1393 - 1434 (2012)
  3. 3.
    Zeitschriftenartikel
    Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: Discriminative frequent subgraph mining with optimality guarantees. Statistical Analysis and Data Mining 3 (5), S. 302 - 318 (2010)
  4. 4.
    Zeitschriftenartikel
    Vishwanathan, S.; Borgwardt, K.; Guttman, O.; Smola, A.: Kernel extrapolation. Neurocomputing 69 (7-9), S. 721 - 729 (2006)
  5. 5.
    Zeitschriftenartikel
    Gretton, A.; Herbrich, R.; Smola, A.; Bousquet, O.; Schölkopf, B.: Kernel Methods for Measuring Independence. The Journal of Machine Learning Research 6, S. 2075 - 2129 (2005)
  6. 6.
    Zeitschriftenartikel
    Ong, C.; Smola, A.; Williamson, R.: Learning the Kernel with Hyperkernels. The Journal of Machine Learning Research 6, S. 1043 - 1071 (2005)
  7. 7.
    Zeitschriftenartikel
    Borgwardt, K.; Ong, C.; Schönauer, S.; Vishwanathan , S.; Smola, A.; Kriegel, H.-P.: Protein function prediction via graph kernels. Bioinformatics 21 (Supplement 1), S. i47 - i56 (2005)
  8. 8.
    Zeitschriftenartikel
    Chalimourda, A.; Schölkopf, B.; Smola, A.: Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks 18 (2), S. 205 - 205 (2005)
  9. 9.
    Zeitschriftenartikel
    Smola, A.; Schölkopf, B.: A Tutorial on Support Vector Regression. Statistics and Computing 14 (3), S. 199 - 222 (2004)
  10. 10.
    Zeitschriftenartikel
    Chalimourda, A.; Schölkopf, B.; Smola, A.: Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks 17 (1), S. 127 - 141 (2004)
  11. 11.
    Zeitschriftenartikel
    Graf, A.; Smola, A.; Borer, S.: Classification in a Normalized Feature Space using Support Vector Machines. IEEE Transactions on Neural Networks 14 (3), S. 597 - 605 (2003)
  12. 12.
    Zeitschriftenartikel
    Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.; Müller, K.-R.: Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (5), S. 623 - 628 (2003)
  13. 13.
    Zeitschriftenartikel
    Schölkopf, B.; Platt, J.; Shawe-Taylor , J.; Smola, A.; Williamson, R.: Estimating the support of a high-dimensional distribution. Neural computation 13 (7), S. 1443 - 1471 (2001)

Buch (1)

  1. 14.
    Buch
    Schölkopf, B.; Smola, A.: Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, Cambridge, MA, USA (2002), 626 S.

Buchkapitel (4)

  1. 15.
    Buchkapitel
    Gretton, A.; Smola, A.; Huang, J.; Schmittfull, M.; Borgwardt, K.; Schölkopf, B.: Covariate Shift by Kernel Mean Matching. In: Dataset Shift in Machine Learning, S. 131 - 160 (Hg. Quiñonero-Candela, J.; Sugiyama, M.; Schwaighofer, A.; Lawrence, N.). MIT Press, Cambridge, MA, USA (2009)
  2. 16.
    Buchkapitel
    Altun, Y.; Smola, A.: Density Estimation of Structured Outputs in Reproducing Kernel Hilbert Spaces. In: Predicting Structured Data, S. 283 - 300 (Hg. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
  3. 17.
    Buchkapitel
    Schölkopf, B.; Smola, A.: Support Vector Machines and Kernel Algorithms. In: Encyclopedia of Biostatistics, Bd. 8, 2. Aufl., S. 5328 - 5335 (Hg. Armitage, P.; Colton, T.). Wiley, Chichester, UK (2005)
  4. 18.
    Buchkapitel
    Schölkopf, B.; Smola, A.: Support Vector Machines. In: Handbook of Brain Theory and Neural Networks (sec. ed.), 2. Aufl., S. 1119 - 1125 (Hg. Arbib, M.). MIT Press, Cambridge, MA, USA (2003)

Konferenzbeitrag (30)

  1. 19.
    Konferenzbeitrag
    Thoma, M.; Cheng, H.; Gretton, A.; Han, J.; Kriegel, H.-P.; Smola, A.; Song, L.; Yu, P.; Yan, X.; Borgwardt, K.: Near-optimal supervised feature selection among frequent subgraphs. In: 9th SIAM Conference on Data Mining (SDM 2009), S. 1076 - 1087 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). 9th SIAM Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Philadelphia, PA, USA, Society for Industrial and Applied Mathematics (2009)
  2. 20.
    Konferenzbeitrag
    Gretton, A.; Fukumizu, K.; Teo, C.; Song , L.; Schölkopf, B.; Smola, A.: A Kernel Statistical Test of Independence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 585 - 592 (Hg. Platt, J.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
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