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Books (2): | |
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, Chapelle O
 , and Weston J : Large-Scale Kernel Machines, 416, MIT Press, Cambridge, MA, USA, (September-2007).
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Chapelle O
, Schölkopf B and Zien A : Semi-Supervised Learning, 508, MIT Press, Cambridge, MA, USA, (September-2006).
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Articles (10): | |
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Chapelle O , and (February-2008) Optimization Techniques for Semi-Supervised Support Vector Machines
Journal of Machine Learning Research 9 203-233.
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Chapelle O (March-2007) Training a Support Vector Machine in the Primal
Neural Computation 19(5) 1155-1178. 
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Walder C , Schölkopf B and Chapelle O (September-2006) Implicit Surface Modelling with a Globally Regularised Basis of Compact Support
Computer Graphics Forum 25(3) 635-644.
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, Chapelle O and (July-2006) Building Support Vector Machines with Reduced Classifier Complexity
Journal of Machine Learning Research 7 1493-1515.
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, Chapelle O and Schölkopf B (2004) Feature Selection for Support Vector Machines Using Genetic Algorithms
International Journal on Artificial Intelligence Tools (Special Issue on Selected Papers from the 15th IEEE International Conference on Tools with Artificial Intelligence 2003) 13(4) 791-800.
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Weston J , , 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.
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Chapelle O , , Bousquet O and (2002) Choosing Multiple Parameters for Support Vector Machines
Machine Learning 46(1) 131-159.
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Chapelle O , and (2002) Model Selection for Small Sample Regression
Machine Learning 48(1-3) 9-23.
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Vapnik V and Chapelle O (2000) Bounds on Error Expectation for Support Vector Machines
Neural Computation 12(9) 2013-2036.
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Chapelle O , and (1999) SVMs for Histogram Based Image Classification
IEEE Transactions on Neural Networks (9).
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Conference papers (24): | |
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Sinz FH , Chapelle O , Agarwal A and Schölkopf B (September-2008) An Analysis of Inference with the Universum
In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1369-1376.
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Walder C and Chapelle O (September-2008) Learning with Transformation Invariant Kernels
In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1561-1568.
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, and Chapelle O (September-2007) An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 673-680.
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Chapelle O , and (September-2007) Branch and Bound for Semi-Supervised Support Vector Machines
In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 217-224.
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Walder C , Schölkopf B and Chapelle O (September-2007) Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 273-280.
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Gehler PV and Chapelle O (March-2007) Deterministic Annealing for
Multiple-Instance Learning
In: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, Microtome, Brookline, MA, USA, 123-130.
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Chapelle O , Chi M and Zien A (June-2006) A Continuation Method for Semi-Supervised SVMs
In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 185-192.
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, and Chapelle O (June-2006) Deterministic annealing for semi-supervised kernel machines
In: ICML 2006, 23rd International Conference on Machine Learning, ACM Press, New York, NY, USA, 841-848.
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, and Chapelle O (April-2006) Estimating Predictive Variances with Kernel Ridge Regression
In: MLCW 2005, First PASCAL Machine Learning Challenges Workshop, Springer, Berlin, Germany, 56-77.
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and Chapelle O (October-2005) An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron
Algorithmic Learning Theory, 78-92.
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Chapelle O and (July-2005) A Machine Learning Approach to Conjoint Analysis
In: Advances in Neural Information Processing Systems 17, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 257-264.
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Chapelle O and Zien A (January-2005) Semi-Supervised Classification by Low Density Separation
In: AISTATS 2005, Tenth International Workshop on Artificial Intelligence and Statistics, 57-64.
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Chapelle O (2005) Active Learning for Parzen Window Classifier
AI STATS, 49-56.
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Walder C , Chapelle O and Schölkopf B (2005) Implicit Surface Modelling as an Eigenvalue Problem
ICML Bonn, 937.
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Bousquet O , Chapelle O and Hein M (June-2004) Measure Based Regularization
In: Advances in Neural Information Processing Systems 16, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1221-1228.
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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.
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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.
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, Chapelle O and Schölkopf B (2003) Feature Selection for Support Vector Machines by Means of Genetic Algorithms
15th IEEE International Conference on Tools with AI, 142-148.
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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.
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Chapelle O and Schölkopf B (September-2002) Incorporating Invariances in Non-Linear Support Vector Machines
In: Advances in Neural Information Processing Systems 14, Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), MIT Press, Cambridge, MA, USA, 609-616.
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Weston J , , Chapelle O , , and (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.
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Chapelle O , Weston J , and (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.
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Chapelle O and (June-2000) Model Selection for Support Vector Machines
In: Advances in Neural Information Processing Systems 12, Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), MIT Press, Cambridge, MA, USA, 230-236.
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Chapelle O , 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.
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Contributions to books (3): | |
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Chapelle O : Training a Support Vector Machine in the Primal, 29-50.
In: Large Scale Kernel Machines, (Ed) , MIT Press, Cambridge, MA, USA, (September-2007).
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Lal TN , Chapelle O and Schölkopf B : Combining a Filter Method with SVMs, 439-446.
In: Feature Extraction: Foundations and Applications, (Ed) , Springer, Berlin, Germany, (2006).
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Lal TN , Chapelle O , Weston J and Elisseeff A : Embedded methods, 137-165.
In: Feature Extraction: Foundations and Applications, (Ed) , Springer, Berlin, Germany, (2006).
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Technical reports (9): | |
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Walder C and Chapelle O : Learning with Transformation Invariant Kernels, 165, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (September-2007).
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Chapelle O : Training a Support Vector Machine in the Primal, 147, Max Planck Institute for Biological Cybernetics, Tübingen, (April-2006).
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Seeger M and Chapelle O : Cross-Validation Optimization for Structured Hessian Kernel Methods, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (February-2006).
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Eichhorn J and Chapelle O : Object categorization with SVM: kernels for local features, 137, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (July-2004).
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Weston J , Chapelle O , Elisseeff A , Schölkopf B and : Kernel Dependency Estimation, 98, Max Planck Institute for Biological Cybernetics, (August-2002).
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Weston J , , Bousquet O , Chapelle O , Elisseeff A and Schölkopf B : Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design, (2002).
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Weston J , Chapelle O and : Data cleaning algorithms with applications to micro-array experiments, Biowulf, (2001).
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Chapelle O and Schölkopf B : Incorporating Invariances in Non-Linear Support Vector Machines, (2001).
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Weston J , , 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).
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Theses (2): | |
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Chapelle O : Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge, (2002).
PhD thesis
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Chapelle O : Support Vector Machines for Image Classification, Ecole Normale Superieure de Lyon, (1998).
Diplom thesis
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