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Dr. Olivier Chapelle

Raum Nummer: 215

 

Bild von Chapelle, Olivier, Dr.

Olivier Chapelle

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Bücher (2):

Bottou L, Chapelle O, DeCoste D und Weston J: Large-Scale Kernel Machines, 416, MIT Press, Cambridge, MA, USA, (September-2007). ISBN: 0-262-25579-0, Series: Neural Information Processing Series
Chapelle O, Schölkopf B und Zien A: Semi-Supervised Learning, 508, MIT Press, Cambridge, MA, USA, (2006). ISBN: 0-262-25589-8

Artikel (9):

Chapelle O, Sindhwani V und Keerthi SS (Februar-2008) Optimization Techniques for Semi-Supervised Support Vector Machines Journal of Machine Learning Research 9 203-233.
Chapelle O (März-2007) Training a Support Vector Machine in the Primal Neural Computation 19(5) 1155-1178.
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Walder C, Schölkopf B und Chapelle O (September-2006) Implicit Surface Modelling with a Globally Regularised Basis of Compact Support Computer Graphics Forum 25(3) 635-644.
Keerthi S, Chapelle O und DeCoste D (Juli-2006) Building Support Vector Machines with Reduced Classifier Complexity Journal of Machine Learning Research 7 1493-1515.
Weston J, Perez-Cruz F, Bousquet O, Chapelle O, Elisseeff A und Schölkopf B (April-2003) Feature selection and transduction for prediction of molecular bioactivity for drug design Bioinformatics 19(6) 764-771.
Chapelle O, Vapnik V, Bousquet O und Mukherjee S (2002) Choosing Multiple Parameters for Support Vector Machines Machine Learning 46(1) 131-159.
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Chapelle O, Vapnik V und Bengio Y (2002) Model Selection for Small Sample Regression Machine Learning 48(1-3) 9-23.
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Vapnik V und Chapelle O (2000) Bounds on Error Expectation for Support Vector Machines Neural Computation 12(9) 2013-2036.
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Chapelle O, Haffner P und Vapnik V (1999) SVMs for Histogram Based Image Classification IEEE Transactions on Neural Networks (9).
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Beiträge zu Tagungsbänden (25):

Sinz FH, Chapelle O, Agarwal A und 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 und 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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Keerthi SS, Sindhwani V und 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, Sindhwani V und Keerthi SS (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 und 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 und Chapelle O (März-2007) Deterministic Annealing for Multiple-Instance Learning, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 123-130, Series: JMLR Workshop and Conference Proceedings ; 2.
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Chapelle O, Chi M und Zien A (Juni-2006) A Continuation Method for Semi-Supervised SVMs, 23rd International Conference on Machine Learning (ICML 2006), ACM Press, New York, NY, USA, 185-192.
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Sindhwani V, Keerthi SS und Chapelle O (Juni-2006) Deterministic annealing for semi-supervised kernel machines, 23rd International Conference on Machine Learning (ICML 2006), ACM Press, New York, NY, USA, 841-848.
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Cawley GC, Talbot NLC und Chapelle O (April-2006) Estimating Predictive Variances with Kernel Ridge Regression In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, , First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 56-77, Series: Lecture Notes in Computer Science ; 3944.
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Kowalczyk A und Chapelle O (Oktober-2005) An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron In: Algorithmic Learning Theory, , 16th International Conference on Algorithmic Learning Theory (ALT 2005), Springer, Berlin, Germany, 78-92, Series: Lecture Notes in Computer Science ; 3734.
Walder C, Chapelle O und Schölkopf B (August-2005) Implicit Surface Modelling as an Eigenvalue Problem, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 936-939.
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Chapelle O und Harchaoui Z (Juli-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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Everingham M, Zisserman A, Williams CKI, van Gool L, Allan M, Bishop CM, Chapelle O, Dalal N, Deselaers T, Dorkó G, Duffner S, Eichhorn J, Farquhar JDR, Fritz M, Garcia C, Griffiths T, Jurie F, Keysers D, Koskela M, Laaksonen J, Larlus D, Leibe B, Meng H, Ney H, Schiele B, Schmid C, Seemann E, Shaw-Taylor J, Storkey A, Szedmak S, Triggs B, Ulusoy I, Viitaniemi V und Zhang J (April-2005) The 2005 PASCAL Visual Object Classes Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, , First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 117-176, Series: Lecture Notes in Computer Science ; 3944.
Chapelle O (Januar-2005) Active Learning for Parzen Window Classifier, Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Society for Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 49-56.
Chapelle O und Zien A (Januar-2005) Semi-Supervised Classification by Low Density Separation, Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Society for Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 57-64.
Bousquet O, Chapelle O und Hein M (Juni-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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Fröhlich H, Chapelle O und Schölkopf B (November-2003) Feature Selection for Support Vector Machines Using Genetic Algorithms, 15th IEEE International Conference on Tools with Artificial Intelligence 2003, IEEE Operations Center, Piscataway, NJ, USA, 142-148.
Chapelle O, Weston J und Schölkopf B (Oktober-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 und Vapnik V (Oktober-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, Schölkopf B und Weston J (August-2003) Semi-Supervised Learning through Principal Directions Estimation, ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, 1-7.
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Chapelle O und 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, Mukherjee S, Chapelle O, Pontil M, Poggio T und 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.
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Chapelle O, Weston J, Bottou L und 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.
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Chapelle O und Vapnik V (Juni-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, Vapnik V und Weston J (Juni-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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Beiträge zu Büchern (7):

Chapelle O: Training a Support Vector Machine in the Primal, 29-50. In: Large Scale Kernel Machines, (Ed) L. Bottou, MIT Press, Cambridge, MA, USA, (September-2007).
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Chapelle O, Schölkopf B und Zien A: An Augmented PAC Model for Semi-Supervised Learning, 397-419. In: Semi-supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (2006).
Chapelle O, Schölkopf B und Zien A: Analysis of Benchmarks, 377-393. In: Semi-Supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (2006).
Lal TN, Chapelle O und Schölkopf B: Combining a Filter Method with SVMs, 439-446. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
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Lal TN, Chapelle O, Weston J und Elisseeff A: Embedded methods, 137-165. In: Feature Extraction: Foundations and Applications, (Ed) I. Guyon, Springer, Berlin, Germany, (2006).
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Chapelle O, Schölkopf B und Zien A: Perspectives, 395. In: Semi-Supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (2006).
Chapelle O, Schölkopf B und Zien A: Prediction of Protein Function from Networks, 361-375. In: Semi-Supervised Learning, (Ed) O. Chapelle, MIT Press, Cambridge, MA, USA, (2006).

Technische Berichte (7):

Walder C und 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, Germany, (April-2006).
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Seeger M und Chapelle O: Cross-Validation Optimization for Structured Hessian Kernel Methods, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (Februar-2006).
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Eichhorn J und Chapelle O: Object categorization with SVM: kernels for local features, 137, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (Juli-2004).
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Weston J, Chapelle O, Elisseeff A, Schölkopf B und Vapnik V: Kernel Dependency Estimation, 98, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (August-2002).
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Weston J, Chapelle O und Guyon I: Data cleaning algorithms with applications to micro-array experiments, BIOwulf Technologies, Savannah GA USA, (2001).
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Weston J, Perez-Cruz F, Bousquet O, Chapelle O, Elisseeff A und Schölkopf B: KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug design - Binding to Thrombin, BIOwulf Technologies, Savannah GA USA, (2001).
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Last updated: Montag, 22.05.2017