Publikationen von B Schölkopf

Zeitschriftenartikel (111)

81.
Zeitschriftenartikel
Romdhani, S.; Torr, P.; Schölkopf, B.; Blake, A.: Efficient face detection by a cascaded support-vector machine expansion. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 460 (2501), S. 3283 - 3297 (2004)
82.
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Smola, A.; Schölkopf, B.: A Tutorial on Support Vector Regression. Statistics and Computing 14 (3), S. 199 - 222 (2004)
83.
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Lal, T.; Schröder, M.; Hinterberger, T.; Weston, J.; Bogdan, M.; Birbaumer, N.; Schölkopf, B.: Support Vector Channel Selection in BCI. IEEE Transactions on Biomedical Engineering 51 (6), S. 1003 - 1010 (2004)
84.
Zeitschriftenartikel
von Luxburg, U.; Bousquet, O.; Schölkopf, B.: A Compression Approach to Support Vector Model Selection. The Journal of Machine Learning Research 5, S. 293 - 323 (2004)
85.
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)
86.
Zeitschriftenartikel
Schölkopf, B.: Statistische Lerntheorie und Empirische Inferenz. Jahrbuch der Max-Planck-Gesellschaft 2004, S. 377 - 382 (2004)
87.
Zeitschriftenartikel
Schölkopf, B.: Statistical Learning Theory, Capacity and Complexity. Complexity 8 (4), S. 87 - 94 (2003)
88.
Zeitschriftenartikel
Weston, J.; Schölkopf, B.; Eskin, E.; leslie, C.; Noble, W.: Dealing with large Diagonals in Kernel Matrices. Annals of the Institute of Statistical Mathematics 55 (2), S. 391 - 408 (2003)
89.
Zeitschriftenartikel
Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.; Müller, K.-R.: Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (5), S. 623 - 628 (2003)
90.
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)
91.
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)
92.
Zeitschriftenartikel
Weston, J.; Elisseeff, A.; Schölkopf, B.; Tipping, M.: Use of the Zero-Norm with Linear Models and Kernel Methods. The Journal of Machine Learning Research 3, S. 1439 - 1461 (2003)
93.
Zeitschriftenartikel
Cristianini, N.; Schölkopf, B.: Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine 23 (3), S. 31 - 41 (2002)
94.
Zeitschriftenartikel
Rätsch, G.; Mika, S.; Schölkopf, B.; Müller, K.-R.: Constructing Boosting algorithms from SVMs: an application to one-class classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), S. 1184 - 1199 (2002)
95.
Zeitschriftenartikel
DeCoste, D.; Schölkopf, B.: Training invariant support vector machines. Machine Learning 46 (1-3), S. 161 - 190 (2002)
96.
Zeitschriftenartikel
Williamson, R.; Smola, A.; Schölkopf, B.: Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators. IEEE Transactions on Information Theory 47 (6), S. 2516 - 2532 (2001)
97.
Zeitschriftenartikel
Smola, A.; Mika, S.; Schölkopf, B.; Williamson, R.: Regularized principal manifolds. The Journal of Machine Learning Research 1, S. 179 - 209 (2001)
98.
Zeitschriftenartikel
Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on Neural Networks 12 (2), S. 181 - 201 (2001)
99.
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)
100.
Zeitschriftenartikel
Schölkopf, B.; Smola, A.; Williamson, R.; Bartlett, P.: New Support Vector Algorithms. Neural computation 12 (5), S. 1207 - 1245 (2000)
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