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Zeitschriftenartikel (10)

  1. 1.
    Zeitschriftenartikel
    Chapelle, O.; Sindhwani, V.; Keerthi, S.: Optimization Techniques for Semi-Supervised Support Vector Machines. Journal of Machine Learning Research 9, S. 203 - 233 (2008)
  2. 2.
    Zeitschriftenartikel
    Chapelle, O.: Training a Support Vector Machine in the Primal. Neural computation 19 (5), S. 1155 - 1178 (2007)
  3. 3.
    Zeitschriftenartikel
    Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Computer Graphics Forum 25 (3), S. 635 - 644 (2006)
  4. 4.
    Zeitschriftenartikel
    Keerthi, S.; Chapelle, O.; DeCoste, D.: Building Support Vector Machines with Reduced Classifier Complexity. Journal of Machine Learning Research 7, S. 1493 - 1515 (2006)
  5. 5.
    Zeitschriftenartikel
    Fröhlich, H.; Chapelle, O.; Schölkopf, B.: Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools (Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003) 13 (4), S. 791 - 800 (2004)
  6. 6.
    Zeitschriftenartikel
    Weston, J.; Perez-Cruz F, Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19 (6), S. 764 - 771 (2003)
  7. 7.
    Zeitschriftenartikel
    Chapelle, O.; Vapnik V, Bousquet, O.; Mukherjee, S.: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46 (1), S. 131 - 159 (2002)
  8. 8.
    Zeitschriftenartikel
    Chapelle, O.; Vapnik, V.; Bengio, Y.: Model Selection for Small Sample Regression. Machine Learning 48 (1-3), S. 9 - 23 (2002)
  9. 9.
    Zeitschriftenartikel
    Vapnik, V.; Chapelle, O.: Bounds on Error Expectation for Support Vector Machines. Neural Computation 12 (9), S. 2013 - 2036 (2000)
  10. 10.
    Zeitschriftenartikel
    Chapelle, O.; Haffner, P.; Vapnik, V.: SVMs for Histogram Based Image Classification. IEEE Transactions on Neural Networks (9) (1999)

Buch (2)

  1. 11.
    Buch
    Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.: Large-Scale Kernel Machines. MIT Press, Cambridge, MA, USA (2007), 396 S.
  2. 12.
    Buch
    Chapelle, O.; Schölkopf, B.; Zien, A.: Semi-Supervised Learning. MIT Press, Cambridge, MA, USA (2006), 508 S.

Buchkapitel (3)

  1. 13.
    Buchkapitel
    Chapelle, O.: Training a Support Vector Machine in the Primal. In: Large Scale Kernel Machines, S. 29 - 50 (Hg. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)
  2. 14.
    Buchkapitel
    Lal, T.; Chapelle, O.; Schölkopf, B.: Combining a Filter Method with SVMs. In: Feature Extraction: Foundations and Applications, S. 439 - 446. Springer, Berlin, Germany (2006)
  3. 15.
    Buchkapitel
    Lal, T.; Chapelle, O.; Weston, J.; Elisseeff, A.: Embedded methods. In: Feature Extraction: Foundations and Applications, S. 137 - 165. Springer, Berlin, Germany (2006)

Konferenzbeitrag (24)

  1. 16.
    Konferenzbeitrag
    Sinz, F.; Chapelle, O.; Agarwal, A.; Schölkopf, B.: An Analysis of Inference with the Universum. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1369 - 1376 (Hg. Platt, C.; 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)
  2. 17.
    Konferenzbeitrag
    Walder, C.; Chapelle, O.: Learning with Transformation Invariant Kernels. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1561 - 1568 (Hg. Platt, C.; 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)
  3. 18.
    Konferenzbeitrag
    Chapelle, O.; Sindhwani, V.; Keerthi, S.: Branch and Bound for Semi-Supervised Support Vector Machines. In: Advances in Neural Information Processing Systems 19, S. 217 - 224 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
  4. 19.
    Konferenzbeitrag
    Keerthi, S.; Sindhwani, V.; Chapelle, O.: An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. Advances in Neural Information Processing Systems 19, S. 673 - 680 (2007)
  5. 20.
    Konferenzbeitrag
    Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. In: Advances in Neural Information Processing Systems 19, S. 273 - 280 (Hg. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
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