Léon Bottou and Olivier Chapelle and Dennis DeCoste and Jason Weston (editors): Large Scale Kernel Machines. MIT Press (2007) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom and Jessica Fridrich and Ton Kalker: Digital watermarking and steganography (second edition). Morgan Kaufmann (2007")

Vapnik, Vladimir: Estimation of Dependences Based on Empirical Data. Springer Verlag (2006)

Lawrence Saul and Yair Weiss and Léon Bottou (editors): Advances in Neural Information Processing Systems 17. MIT Press (2005) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom: Digital watermarking. Morgan Kaufmann (2002")

Articles and Conference Papers

Collobert, Ronan and Weston, Jason: A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Weston, Jason and Ratle, Frédéric and Collobert, Ronan: Deep Learning via Semi-Supervised Embedding. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Weston, Jason: Large Scale Semi-Supervised Learning. Proceedings of NATO Advanced Study Institute on Mining Massive Data Sets for Security (2008) (link)

Karlen, Michael and Weston, Jason and Erkan, Ayse and Collobert, Ronan: Large Scale Manifold Transduction. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Framework for Learning String-to-String Mappings. Predicting Structured Data (2007) (link)

Bottou, Léon and Lin, Chih-Jen: Support Vector Machine Solvers. Large Scale Kernel Machines (2007) (link)

Durdanovic, I. and Cosatto, E. and Graf, H.P.: Large Scale Parallel SVM Implementation. Large Scale Kernel Machines (2007) (link)

Loosli, Gaëlle and Canu, Stéphane and Bottou, Léon: Training Invariant Support Vector Machines using Selective Sampling. Large Scale Kernel Machines (2007) (link)

Weston, Jason and BakIr, Goekhan and Bousquet, Olivier and Schölkopf, Bernhard and Mann, T. and Noble, William Stafford: Joint Kernel Maps. Predicting Structured Data (2007) (link)

Lukas Kall and Jesse Canterbury and Jason Weston and William S. Noble and Michael J. MacCoss: Semi-Supervised Learning for Peptide Identification from Shotgun Proteomics Datasets. Nature Methods (2007) (link)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Large Scale Kernel Machines (2007) (link)

Collobert, Ronan and Weston, Jason: Fast Semantic Extraction Using a Novel Neural Network Architecture. 45th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Accepted. (2007) (link)

Melvin, Iain and Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein classification using adaptive codes. Journal of Machine Learning Research (2007)

BakIr, Gökhan and Schölkopf, Bernhard and Weston, Jason: On the pre-image problem in kernel methods. Kernel Methods in Bioengineering, Signal and Image Processing (2007) (link)

Sonnenburg, Sören and Braun, Mikio .L. and Ong, Cheng Soon and Bengio, Samy and Bottou, Leon and Holmes, Geoffrey and LeCun, Yann and Müller, Klaus-Robert and Pereira, Fernando and Rasmussen, Carl Edward, Rätsch, Gunnar and Schölkopf, Bernhard and Smola, Alexander and Vincent, Pascal and Weston, Jason and Williamson Robert: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research (2007) (link)

Antoine Bordes and Léon Bottou and Patrick Gallinari and Jason Weston: Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference (2007) (link)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Large Scale Transductive SVMs. Journal of Machine Learning Research (2006) (link)

Collobert, Ronan and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

Lal, T. N. and Chapelle, Olivier and Weston, Jason and Elisseeff, Andre: Embedded Methods. Feature extraction, foundations and Applications (2006) (link)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Semi-Supervised Learning (2006) (link)

Vapnik, Vladimir: Transductive Inference and Semi-Supervised Learning. Semi-Supervised Learning (2006)

Weston, Jason and Collobert, Ronan and Sinz, Fabian and Bottou, Léon and Vapnik, Vladimir: Inference with the Universum. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

Melvin, Iain and Ie, Eugene and Kuang, Rui and Westo: SVM-fold : a tool for discriminative multi-clas. BMC Bioinformatics (2006) (link)

LeCun, Y. and Muller, U. and Ben, J. and Cosatto, E. and Flepp, B.: Off-road obstacle avoidance through end-to-end learning. Advances in neural information processing systems (2006)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Bioinformatics (15) (2005) (link)

Bottou, Léon and LeCun, Yann: Graph Transformer Networks for Image Recognition. Bulletin of the International Statistical Institute (ISI) (2005) (link)

Bordes, Antoine and Ertekin, Seyda and Weston, Jason and Bottou, Léon: Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research (2005) (link)

Ning, Feng and Delhomme, Damien and LeCun, Yann and Piano, Fabio and Bottou, Léon and Barbano, Paolo Emilio: Toward Automatic Phenotyping of Developing Embryos from Videos. IEEE Transactions in Image Processing (9) (2005) (link)

Kuang, Rui and Weston, Jason and Noble, William Stafford and Leslie, Christina: Motif-based protein ranking by network propagation. Bioinformatics (19) (2005) (link)

Noble, William Stafford and Kuang, Rui and Leslie, Christina and Weston, Jason: Identifying remote protein homologs by network propagation. FEBS Journal (2005) (link)

Bottou, Léon and LeCun, Yann: On-line Learning for Very Large Datasets. Applied Stochastic Models in Business and Industry (2) (2005) (link)

Bordes, Antoine and Bottou, Léon: The Huller: a simple and efficient online SVM. Machine Learning: ECML 2005 (2005) (link)

Graf, Hans Peter and Cosatto, Eric and Bottou, Léon and Durdanovic, Igor and Vapnik, Vladimir: Parallel Support Vector Machines: The Cascade SVM. Advances in Neural Information Processing Systems (2005) (link)

Weston, Jason and Kuang, Rui and Leslie, Christina and Noble, William: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics Special Issue (2005) (link)

Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein fold recognition using adaptive codes. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Technique for Learning Transductions. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

Weston, Jason and Bordes, Antoine and Bottou, Léon: Online (and Offline) on an Even Tighter Budget. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005, Barbados (2005) (link)

BakIr, Gökhan and Bottou, Léon and Weston, Jason: Breaking SVM Complexity with Cross-Training. Advances in Neural Information Processing Systems (2005) (link)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier: Joint Kernel Maps. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System) (2005) (link)

Bottou, Léon and LeCun, Yann: Large Scale Online Learning. Advances in Neural Information Processing Systems 16 (2004) (link)

Osadchy, M. and Miller, Matthew and LeCun, Y.: Synergistic Face Detection and Pose Estimation with Energy-Based Models. Advances in Neural Information Processing Systems (NIPS 2004) (2004)

LeCun, Yann and Bottou, Léon and HuangFu, Jie: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. Proc. of Computer Vision and Pattern Recognition (2004) (link)

Weston, Jason and Elisseeff, Andre and Zhou, Dengyong and Leslie, Christina and W. S. Noble: Protein ranking: from local to global structure in the protein similarity network. Proceedings of the National Academy of Science (17) (2004) (link)

Weston, Jason and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard and Vapnik, Vladimir: Kernel Dependency Estimation.. Advances in Neural Information Processing Systems (2003) (link)

Bi, J. and Vapnik, Vladimir: Learning with rigorous support vector machines. Proceedings of the 16th Annual Conference on Learning Theory

Tech Reports

Weston, Jason and BakIr, Gökhan: Fast Binary and Multi-Output Reduced Set Selection. Max-Planck-Institute for Biological Cybernetics (132) (2004) (link)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier and Mann and Noble: Joint Kernel Maps. Max-Planck-Institute for Biological Cybernetics (131) (2004) (link)

Weston, Jason and Christina Leslie and Andre Elisseeff and William Stafford Noble: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms. Max-Planck-Institute for Biological Cybernetics (111) (2003)