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Journal Article (10)

1.
Journal Article
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Large Scale Transductive SVMs. The Journal of Machine Learning Research 7, pp. 1687 - 1712 (2006)
2.
Journal Article
Weston, J.; Leslie, C.; Ie, E.; Zhou, D.; Elisseeff, A.; Noble, W.: Semi-supervised protein classification using cluster kernels. Bioinformatics 21 (15), pp. 3241 - 3247 (2005)
3.
Journal Article
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), pp. 1003 - 1010 (2004)
4.
Journal Article
Leslie, C.; Eskin, E.; Cohen, A.; Weston, J.; Noble, W.: Mismatch string kernels for discriminative protein classification. Bioinformatics 20 (4), pp. 467 - 476 (2004)
5.
Journal Article
Weston, J.; Elisseeff, A.; Zhou, D.; Leslie, C.; Noble, W.: Protein ranking: from local to global structure in the protein similarity network. Proceedings of the National Academy of Sciences of the United States of America 101 (17), pp. 6559 - 6563 (2004)
6.
Journal Article
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), pp. 391 - 408 (2003)
7.
Journal Article
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), pp. 623 - 628 (2003)
8.
Journal Article
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), pp. 623 - 628 (2003)
9.
Journal Article
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), pp. 764 - 771 (2003)
10.
Journal Article
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, pp. 1439 - 1461 (2003)

Book (1)

11.
Book
Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.: Large-Scale Kernel Machines. MIT Press, Cambridge, MA, USA (2007), 396 pp.

Book Chapter (4)

12.
Book Chapter
Weston, J.; Bakir, G.; Bousquet, O.; Mann, T.; Noble, W.; Schölkopf, B.: Joint Kernel Maps. In: Predicting Structured Data, pp. 67 - 84 (Eds. Bakır, G.; Hofmann, T.; Schölkopf, B.; Smola, A.; Taskar, B. et al.). MIT Press, Cambridge, MA, USA (2007)
13.
Book Chapter
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: Large Scale Kernel Machines, pp. 275 - 300 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)
14.
Book Chapter
BakIr, G.; Schölkopf, B.; Weston, J.: On the Pre-Image Problem in Kernel Methods. In: Kernel Methods in Bioengineering, Signal and Image Processing, pp. 284 - 302 (Eds. Camps-Valls, G.; Rojo-Álvarez, J.; Martínez-Ramón, M.). Idea Group Publishing, Hershey, PA, USA (2007)
15.
Book Chapter
Lal, T.; Chapelle, O.; Weston, J.; Elisseeff, A.: Embedded methods. In: Feature Extraction: Foundations and Applications, pp. 137 - 165 (Eds. Guyon, I.; Gunn, S.; Nikravesh, M.; Zadeh, L.). Springer, Berlin, Germany (2006)

Conference Paper (22)

16.
Conference Paper
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 201 - 208 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)
17.
Conference Paper
Weston, J.; Collobert, R.; Sinz, F.; Bottou, L.; Vapnik, V.: Inference with the Universum. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 1009 - 1016 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)
18.
Conference Paper
Bakir, G.; Bottou, L.; Weston, J.: Breaking SVM Complexity with Cross-Training. In: Advances in Neural Information Processing Systems 17, pp. 81 - 88 (Eds. Saul, L.; Weiss, Y.; Bottou, L.). Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), Vancouver, BC, Canada, December 13, 2004 - December 16, 2004. MIT Press, Cambridge, MA, USA (2005)
19.
Conference Paper
Weston, J.; Schölkopf, B.; Bousquet, O.: Joint Kernel Maps. In: Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, pp. 176 - 191 (Eds. Cabestany, J.; Prieto, A.; Sandoval, F.). 8th International Work-Conference on Artificial Neural Networks (IWANN 2005), Barcelona, Spain, June 08, 2005 - June 10, 2005. Springer, Berlin, Germany (2005)
20.
Conference Paper
Bakir, G.; Weston, J.; Schölkopf, B.: Learning to Find Pre-Images. In: Advances in Neural Information Processing Systems 16, pp. 449 - 456 (Eds. Thrun, S.; Saul, L.; Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Whistler, BC, Canada, December 09, 2003 - December 11, 2003. MIT Press, Cambridge, MA, USA (2004)
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