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Jason Weston, Ph.D.

E-Mail:

jason.weston

Jason Weston

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Books (1):
•	Bottou L , Chapelle O , DeCoste D and Weston J : Large-Scale Kernel Machines, 416, MIT Press, Cambridge, MA, USA, (September-2007).
Articles (9):
•	Sonnenburg S , Braun ML , Ong CS , Bengio S , Bottou L , Holmes G , LeCun Y , Müller K-R , Pereira F , Rasmussen CE , Rätsch G , Schölkopf B , Smola A , Vincent P , Weston J and Williamson RC (October-2007) The Need for Open Source Software in Machine Learning Journal of Machine Learning Research 8 2443-2466.
•	Collobert R , Sinz F , Weston J and Bottou L (August-2006) Large Scale Transductive SVMs Journal of Machine Learning Research 7 1687-1712.
•	Weston J , Leslie CS , Ie E , Zhou D , Elisseeff A and Noble WS (2005) Semi-supervised protein classification using cluster kernels Bioinformatics 21(15) 3241-3247.
•	Lal TN , Schröder M , Hinterberger T , Weston J , Bogdan M , Birbaumer N and Schölkopf B (June-2004) Support Vector Channel Selection in BCI IEEE Transactions on Biomedical Engineering 51(6) 1003-1010.
•	Weston J , Elisseeff A , Zhou D , Leslie C and Noble WS (2004) Protein ranking: from local to global structure in the protein similarity network Proceedings of the National Academy of Science 101(17) 6559-6563.
•	Weston J , Schölkopf B , Eskin E , Leslie C and Noble WS (June-2003) Dealing with large Diagonals in Kernel Matrices Annals of the Institute of Statistical Mathematics 55(2) 391-408.
•	Mika S , Rätsch G , Weston J , Schölkopf B , Smola AJ and Müller K-R (May-2003) Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces IEEE Transactions on Pattern Analysis and Machine Intelligence 25(5) 623-628.
•	Weston J , Perez-Cruz F , Bousquet O , Chapelle O , Elisseeff A and Schölkopf B (April-2003) Feature selection and transduction for prediction of molecular bioactivity for drug design Bioinformatics 19(6) 764-771.
•	Weston J , Elisseeff A , Schölkopf B and Tipping M (March-2003) Use of the Zero-Norm with Linear Models and Kernel Methods Journal of Machine Learning Research 3 1439-1461.
Conference papers (19):
•	Weston J , Collobert R , Sinz F , Bottou L and Vapnik V (June-2006) Inference with the Universum In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 1009-1016.
•	Collobert R , Sinz F , Weston J and Bottou L (June-2006) Trading Convexity for Scalability In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 201-208.
•	Bakir GH , Bottou L and Weston J (July-2005) Breaking SVM Complexity with Cross-Training In: Advances in Neural Information Processing Systems 17, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 81-88.
•	Weston J , Schölkopf B and Bousquet O (2005) Joint Kernel Maps IWANN 2005, Springer-Verlag, Berlin Heidelberg, Germany, LNCS 3512, 176-191.
•	Bakir GH , Weston J and Schölkopf B (June-2004) Learning to Find Pre-Images In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 449-456.
•	Zhou D , Bousquet O , Lal TN , Weston J and Schölkopf B (June-2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
•	Eichhorn J , Tolias AS , Zien A , Kuss M , Rasmussen CE , Weston J , Logothetis NK and Schölkopf B (June-2004) Prediction on Spike Data Using Kernel Algorithms In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1367-1374.
•	Zhou D , Weston J , Gretton A , Bousquet O and Schölkopf B (June-2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
•	Weston J , Leslie C , Zhou D , Elisseeff A and Noble WS (June-2004) Semi-Supervised Protein Classification using Cluster Kernels In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 595-602.
•	Chapelle O , Weston J and Schölkopf B (October-2003) Cluster Kernels for Semi-Supervised Learning In: Advances in Neural Information Processing Systems 15, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 585-592.
•	Weston J , Chapelle O , Elisseeff A , Schölkopf B and Vapnik V (October-2003) Kernel Dependency Estimation In: Advances in Neural Information Processing Systems 15, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 873-880.
•	Leslie C , Eskin E , Weston J and Noble WS (October-2003) Mismatch String Kernels for SVM Protein Classification In: Advances in Neural Information Processing Systems 15, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 1417-1424.
•	Chapelle O , Schölkopf B and Weston J (2003) Semi-Supervised Learning through Principal Directions Estimation ICML Workshop, The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining.
•	Schölkopf B , Weston J , Eskin E , Leslie C and Noble WS (2002) A kernel approach for learning from almost orthogonal patterns 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki, 2430/2431, 511-528.
•	Weston J , Mukherjee S , Chapelle O , Pontil M , Poggio T and Vapnik V (April-2001) Feature Selection for SVMs In: Advances in Neural Information Processing Systems 13, Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), MIT Press, Cambridge, MA, USA, 668-674.
•	Chapelle O , Weston J , Bottou L and Vapnik V (April-2001) Vicinal Risk Minimization In: Advances in Neural Information Processing Systems 13, Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), MIT Press, Cambridge, MA, USA, 416-422.
•	Mika S , Rätsch G , Weston J , Schölkopf B , Smola AJ and Müller K-R (June-2000) Invariant feature extraction and classification in kernel spaces In: Advances in neural information processing systems 12, Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), MIT Press, Cambridge, MA, USA, 526-532.
•	Chapelle O , Vapnik V and Weston J (June-2000) Transductive Inference for Estimating Values of Functions In: Advances in Neural Information Processing Systems 12, Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), MIT Press, Cambridge, MA, USA, 421-427.
•	Mika S , Rätsch G , Weston J , Schölkopf B and Müller K-R (1999) Fisher discriminant analysis with kernels. Neural Networks for Signal Processing, 9, 41-48.
Contributions to books (6):
•	Weston J , Bakir GH , Bousquet O , Mann T , Noble WS and Schölkopf B : Joint Kernel Maps, 67-84. In: Predicting Structured Data, (Ed) G. H. Bakir, MIT Press, Cambridge, MA, USA, (September-2007).
•	Collobert R , Sinz F , Weston J and Bottou L : Trading Convexity for Scalability, 275-300. In: Large Scale Kernel Machines, (Ed) L. Bottou, MIT Press, Cambridge, MA, USA, (September-2007).
•	BakIr G , Schölkopf B and Weston J : On the Pre-Image Problem in Kernel Methods, 284-302. In: Kernel Methods in Bioengineering, Signal and Image Processing, (Ed) G. Camps-Valls, Idea Group Publishing, Hershey, PA, USA, (January-2007).
•	Lal TN , Chapelle O , Weston J and Elisseeff A : Embedded methods, 137-165. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
•	Perez-Cruz F , Weston J , Herrmann DJL and Schölkopf B : Extension of the nu-SVM range for classification, 179-196. (Ed) J. Suykens and J. Vandewalle, IOS Press, Amsterdam, (2003).
•	Schölkopf B , Guyon I and Weston J : Statistical Learning and Kernel Methods in Bioinformatics, 1-21. (Ed) P. Frasconi und R. Shamir, IOS Press, Amsterdam, The Netherlands, (2003).
Technical reports (12):
•	Weston J and Bakir GH : Fast Binary and Multi-Output Reduced Set Selection, 132, (November-2004).
•	Weston J , Schölkopf B , Bousquet O , Mann and Noble WS : Joint Kernel Maps, 131, Max-Planck-Institute for Biological Cybernetics, Tübingen, (November-2004).
•	Lal TN , Schröder M , Hinterberger T , Weston J , Bogdan M , Birbaumer N and Schölkopf B : Support Vector Channel Selection in BCI, 120, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (December-2003).
•	Zhou D , Bousquet O , Lal TN , Weston J and Schölkopf B : Learning with Local and Global Consistency, 112, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, (June-2003).
•	Weston J , Leslie C , Elisseeff A and Noble WS : Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms, 111, MPI, Tuebingen, (June-2003).
•	Zhou D , Weston J , Gretton A , Bousquet O and Schölkopf B : Ranking on Data Manifolds, 113, Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, (June-2003).
•	Weston J , Chapelle O , Elisseeff A , Schölkopf B and Vapnik V : Kernel Dependency Estimation, 98, Max Planck Institute for Biological Cybernetics, (August-2002).
•	Weston J , Perez-Cruz F , Bousquet O , Chapelle O , Elisseeff A and Schölkopf B : Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design, (2002).
•	Weston J , Chapelle O and Guyon I : Data cleaning algorithms with applications to micro-array experiments, Biowulf, (2001).
•	Weston J , Perez-Cruz F , Bousquet O , Chapelle O , Elisseeff A and Schölkopf B : KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug design -- Binding to Thrombin, BIOwulf, (2001).
•	Weston J , Elisseeff A and Schölkopf B : Use of the $ell_0$-norm with linear models and kernel methods, Biowulf Technologies, (2001).
•	Saunders C , Stitson MO , Weston J , Bottou L , Schölkopf B and Smola AJ : Support Vector Machine Reference Manual, CSD-TR-98-03, Department of Computer Science, Royal Holloway, University of London, (1998).