- Stochastic Gradient Learning in Neural Networks
- Nicolas Usunier Antoine Bordes Lon Bottou LIP6, Universit Paris 6,
- Stochastic Approximations and Ecient Learning L eon Bottou
- DjVu: Un Syst`eme de Compression d'Images pour la Distribution R'eticulaire de Documents Num'eris'es.
- Batch and online learning algorithms for Nonconvex NeymanPearson classification
- Graph Transformer Networks for Image Recognition Leon Bottou + and Yann Le Cun #
- Vicinal Risk Minimization Olivier Chapelle, Jason Weston \Lambda , L'eon Bottou and Vladimir Vapnik
- Breaking SVM Complexity with CrossTraining
- Nonconvex Online Support Vector Machines S eyda Ertekin, Le on Bottou, and C. Lee Giles, Fellow, IEEE
- On-line Learning for Very Large Apprentissage Stochastique pour Tr`es Grands
- Object Recognition with GradientBased Yann LeCun, Patrick Haffner, L'eon Bottou, and Yoshua Bengio
- LargeScale Machine Learning with Stochastic Gradient Descent
- Para lle l Support Vector Mach ines: The Cascade SVM
- Journal of Machine Learning Research 6 (2005) 15791619 Submitted 3/05; Published 9/05 Fast Kernel Classifiers
- DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution Patrick Haffner, Leon Bottou, Paul G. Howard, and Yann LeCun
- Sequence Labelling SVMs Trained in One Pass Antoine Bordes 12 , Nicolas Usunier 1 , and Leon Bottou 2
- Online (and Offline) Even Tighter Budget Jason Weston
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- Sequence Labelling SVMs Trained in One Pass Antoine Bordes12
- Invariant SVM using Selective Sampling Training Invariant Support Vector Machines
- From Machine Learning to Machine Reasoning Lon Bottou
- Efficient Conversion of Digital Documents to Multilayer Raster Formats Leon Bottou, Patrick Haffner and Yann LeCun
- Batch and online learning algorithms for Nonconvex Neyman-Pearson classification
- Journal of Machine Learning Research 11 (2010) 2229-2240 Submitted 11/09; Revised 5/10; Published 8/10 Erratum: SGDQN is Less Careful than Expected
- Large-Scale Machine Learning with Stochastic Gradient Descent
- L'apprentissage statistique `a grande echelle Leon Bottou1
- Solving MultiClass Support Vector Machines with LaRank Antoine Bordes
- Support Vector Machine Solvers Leon Bottou leon@bottou.org
- Journal of Machine Learning Research 1 (2006) 1687-1712 Submitted 12/05; Revised 4/06; Published 8/06 Large Scale Transductive SVMs
- The Huller: a simple and efficient online SVM Antoine Bordes12
- Breaking SVM Complexity with Cross-Training
- Stochastic Learning Leon Bottou
- Large Scale Online Learning. Leon Bottou
- Geometric Clustering using the Information Bottleneck method
- An Iterative Algorithm for Accurate Motion Estimation in Very Low Bit Rate Video Coding
- Predicting Learning Curves without the Ground Truth Hypothesis
- The ZCoder Adaptive Binary Coder (extended abstract)
- Lossy Compression of Partially Masked Still Images L'eon Bottou
- Learning using Large Datasets Lon Bottou a and Olivier Bousquet b
- Journal Machine Learning Research (2005) 1579--1619 Submitted 3/05; Published Fast Kernel Classifiers
- DjVu: Analyzing and Compressing Scanned Documents for Internet Distribution Patrick Haffner, Leon Bottou, Paul G. Howard, and Yann LeCun
- The Story of TL/Prevision Leon Bottou
- Solving MultiClass Support Vector Machines with LaRank Antoine Bordes +# bordes@poleia.lip6.fr
- Geometric Clustering using the Information Bottleneck method
- Learning Methods for Generic Object Recognition with Invariance to Pose and Yann LeCun, Fu Jie Huang, and L eon Bottou #
- Online (and Offline) on an Even Tighter Budget Jason Weston
- Inference with the Universum Jason Weston jasonw@neclabs.com
- Journal of Machine Learning Research 1 (2006) 16871712 Submitted 12/05; Revised 4/06; Published 8/06 Large Scale Transductive SVMs
- Invariant SVM using Selective Sampling Training Invariant Support Vector Machines
- Comparison of Classifier Methods: A Case Study in Handwritten Digit
- DjVu: a Compression Method for Distributing Scanned Documents in Color
- Inference with the Universum Jason Weston jasonw@nec-labs.com
- Managing drift in DCTbased scalable video coding Amy R. Reibman L'eon Bottou
- An Iterative Algorithm for Accurate Motion Estimation in Very Low Bit Rate Video Coding
- The Tradeoffs of Large Scale Learning L eon Bottou
- Efficient Conversion of Digital Documents to Multilayer Raster Formats Leon Bottou, Patrick Haffner and Yann LeCun
- Journal of Machine Learning Research 10 (2009) 1737-1754 Submitted 1/09; Revised 4/09; Published 7/09 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
- Local algorithms for pattern recognition and dependencies estimation
- Convergence Properties of the KMeans L'eon Bottou
- Trading Convexity for Scalability Ronan Collobert ronan@collobert.com
- Large Scale Online Learning. L eon Bottou
- DjVu Document Browsing with OnDemand loading and rendering of image components
- Journal of Machine Learning Research 10 (2009) 17371754 Submitted 1/09; Revised 4/09; Published 7/09 SGDQN: Careful QuasiNewton Stochastic Gradient Descent
- Learning on the Border: Active Learning in Imbalanced Data Classification
- Parallel Support Vector Machines: The Cascade SVM
- Trading Convexity for Scalability Ronan Collobert ronan@collobert.com
- Efficient BackProp Yann LeCun 1 , Leon Bottou 1 , Genevieve B. Orr 2 , and KlausRobert Muller 3
- High Quality Document Image Compression with DjVu L'eon Bottou, Patrick Haffner, Paul G. Howard,
- Nonconvex Online Support Vector Machines S eyda Ertekin, Leon Bottou, and C. Lee Giles, Fellow, IEEE
- The Tradeoffs of Large Scale Learning Leon Bottou
- Toward Automatic Phenotyping of Developing Embryos from Videos
- READING CHECKS WITH MULTILAYER GRAPH TRANSFORMER NETWORKS Yann Le Cun L'eon Bottou Yoshua Bengio
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- Journal of Machine Learning Research () Submitted ; Published Erratum: SGDQN is Less Careful than Expected
- Online Learning for Very Large Apprentissage Stochastique pour Tr es Grands
- Support Vector Machine Solvers Support Vector Machine Solvers
- Local Learning Algorithms L'eon Bottou, Vladimir Vapnik
- Color Documents on the Web with DjVu Patrick Haffner, Yann LeCun, Leon Bottou, Paul Howard, Pascal Vincent, Bill Riemers
- UNIVERSITE DE PARIS SUD CENTRE D'ORSAY
- On the Effective VC Dimension L'eon Bottou,
- DjVu: a Compression Method for Distributing Scanned Documents in Color
- Browsing through High Quality Document Images with DjVu Patrick Haffner, L'eon Bottou, Paul G. Howard,
- Global Training of Document Processing Systems using Graph Transformer Networks.
- Guarantees for Approximate Incremental SVMs Nicolas Usunier Antoine Bordes Lon Bottou
- Learning using Large Datasets Lon Bottou a
- Online Learning and Stochastic Approximations
- Toward Automatic Phenotyping of Developing Embryos from Videos
- ! "# "$%& '( ) 0$1( 213314 (56$' 2'771 898 )'&7 @ "$7$'6AB CDE "$7$'6AB F(73%343$ CGH
- Graph Transformer Networks for Image Recognition Leon Bottou
- UNIVERSITE DE PARIS SUD CENTRE D'ORSAY
- Stochastic Gradient Learning in Neural Networks
- Scalable video coding with managed drift \Lambda Amy R. Reibman L'eon Bottou Andrea Basso
- Journal of Machine Learning Research 11 (2010) 22292240 Submitted 11/09; Revised 5/10; Published 8/10 Erratum: SGDQN is Less Careful than Expected
- Stochastic Learning Leon Bottou
- DCTbased scalable video coding with drift Amy R. Reibman, L'eon Bottou and Andrea Basso
- SUBMITTED TO PROCEEDINGS OF THE IEEE, 1998 1 GradientBased Learning Applied to Document
- Learning Methods for Generic Object Recognition with Invariance to Pose and Yann LeCun, Fu Jie Huang, and Leon Bottou
- The Tradeoffs of Large Scale Learning Leon Bottou leon@bottou.org
- Journal of Machine Learning Research 12 (2011) 2493-2537 Submitted 1/10; Revised 11/10; Published 8/11 Natural Language Processing (Almost) from Scratch
- Journal of Machine Learning Research 12 (2011) 24932537 Submitted 1/10; Revised 11/10; Published 8/11 Natural Language Processing (Almost) from Scratch
- The Tradeo#s of Large Scale Learning Leon Bottou leon@bottou.org
