981 results
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**Pattern Selection for Support Vector Classifiers**
In *Ideal 2002*, pages: 97-103, (Editors: Yin, H. , N. Allinson, R. Freeman, J. Keane, S. Hubbard), Springer, Berlin, Germany, Third International Conference on Intelligent Data Engineering and Automated Learning, January 2002 (inproceedings)

**Kernel-based nonlinear blind source separation**
EU-Project BLISS, January 2002 (techreport)

**Training invariant support vector machines**
*Machine Learning*, 46(1-3):161-190, January 2002 (article)

Bousquet, O.
**Transductive Learning: Motivation, Models, Algorithms**
January 2002 (talk)

**Contrast discrimination with sinusoidal gratings of different spatial frequency**
*Journal of the Optical Society of America A*, 19(7), pages: 1267-1273, 2002 (article)

**A compression approach to support vector model selection**
(101), Max Planck Institute for Biological Cybernetics, 2002, see more detailed JMLR version (techreport)

**Model Selection for Small Sample Regression**
*Machine Learning*, 48(1-3):9-23, 2002 (article)

**The leave-one-out kernel**
In *Artificial Neural Networks -- ICANN 2002*, 2415, pages: 727-732, LNCS, (Editors: Dorronsoro, J. R.), Artificial Neural Networks -- ICANN, 2002 (inproceedings)

**Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms**
Biologische Kybernetik, Ecole Polytechnique, 2002 (phdthesis) Accepted

**Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge**
Biologische Kybernetik, 2002 (phdthesis)

**Support Vector Machines and Kernel Methods: The New Generation of Learning Machines**
*AI Magazine*, 23(3):31-41, 2002 (article)

**Application of Monte Carlo Methods to Psychometric Function Fitting**
*Proceedings of the 33rd European Conference on Mathematical Psychology*, pages: 44, 2002 (poster)

**A Bennett Concentration Inequality and Its Application to Suprema of Empirical Processes**
*C. R. Acad. Sci. Paris, Ser. I*, 334, pages: 495-500, 2002 (article)

**Numerical evolution of axisymmetric, isolated
systems in general relativity**
*Physical Review D*, 66, pages: 124004-124004, 2002 (article)

**Marginalized kernels for biological sequences**
*Bioinformatics*, 18(Suppl 1):268-275, 2002 (article)

**Localized Rademacher Complexities**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, pages: 44-58, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**Film Cooling: A Comparative Study of Different Heaterfoil Configurations for Liquid Crystals Experiments**
In *ASME TURBO EXPO 2002, Amsterdam*, GT-2002-30552, ASME TURBO EXPO, Amsterdam, 2002 (inproceedings)

**Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design**
Max Planck Institute for Biological Cybernetics / Biowulf Technologies, 2002 (techreport)

**Stability and Generalization**
*Journal of Machine Learning Research*, 2, pages: 499-526, 2002 (article)

**Subspace information criterion for non-quadratic regularizers – model selection for sparse regressors**
*IEEE Trans Neural Networks*, 13(1):70-80, 2002 (article)

**Modeling splicing sites with pairwise correlations**
*Bioinformatics*, 18(Suppl 2):27-34, 2002 (article)

**Observations on the Nyström Method for Gaussian Process Prediction**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2002 (techreport)

**Contrast discrimination with pulse-trains in pink noise**
*Journal of the Optical Society of America A*, 19(7), pages: 1259-1266, 2002 (article)

**A kernel approach for learning from almost orthogonal patterns**
In *Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science*, 2430/2431, pages: 511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 (inproceedings)

**Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons**
*SAB 02 Workshop, Robotics as theoretical biology*, 7th meeting of the International Society for Simulation of Adaptive Behaviour (SAB), (Editors: Prescott, T.; Webb, B.), 2002 (poster)

**Perfusion Quantification using Gaussian Process Deconvolution**
*Magnetic Resonance in Medicine*, (48):351-361, 2002 (article)

**Tracking a Small Set of Experts by Mixing Past Posteriors**
*Journal of Machine Learning Research*, 3, pages: 363-396, (Editors: Long, P.), 2002 (article)

**A femoral arteriovenous shunt facilitates arterial whole blood sampling in animals**
*Eur J Nucl Med Mol Imaging*, 29, pages: 319-323, 2002 (article)

**Some Local Measures of Complexity of Convex Hulls and Generalization Bounds**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**Luminance Artifacts on CRT Displays**
In *IEEE Visualization*, pages: 571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 (inproceedings)

**Choosing Multiple Parameters for Support Vector Machines**
*Machine Learning*, 46(1):131-159, 2002 (article)

**White matter glucose metabolism during intracortical electrostimulation: a quantitative [(18)F]Fluorodeoxyglucose autoradiography study in the rat**
*Neuroimage*, 16, pages: 993-998, 2002 (article)

**Infinite Mixtures of Gaussian Process Experts**
In (Editors: Dietterich, Thomas G.; Becker, Suzanna; Ghahramani, Zoubin), 2002 (inproceedings)

**Marginalized kernels for RNA sequence data analysis**
In *Genome Informatics 2002*, pages: 112-122, (Editors: Lathtop, R. H.; Nakai, K.; Miyano, S.; Takagi, T.; Kanehisa, M.), Genome Informatics, 2002, (Best Paper Award) (inproceedings)

**Some Aspects of Modelling Human Spatial Vision: Contrast Discrimination**
University of Oxford, University of Oxford, October 1999 (phdthesis)

**Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA**
In *German Conference on Bioinformatics (GCB 1999)*, October 1999 (inproceedings)

**Unexpected and anticipated pain: identification of specific brain activations by correlation with reference functions derived form conditioning theory**
29, 29th Annual Meeting of the Society for Neuroscience (Neuroscience), October 1999 (poster)

**Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten**
*Informatik - Forschung und Entwicklung*, 14(3):154-163, September 1999 (article)

**Input space versus feature space in kernel-based methods **
*IEEE Transactions On Neural Networks*, 10(5):1000-1017, September 1999 (article)

**p73 and p63 are homotetramers capable of weak heterotypic interactions with each other but not with p53.**
*Journal of Biological Chemistry*, 274(26):18709-18714, June 1999 (article)

**Shrinking the tube: a new support vector regression algorithm**
In *Advances in Neural Information Processing Systems 11*, pages: 330-336 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, 12th Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Kernel PCA and De-noising in feature spaces**
In *Advances in Neural Information Processing Systems 11*, pages: 536-542 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, 12th Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Semiparametric support vector and linear programming machines**
In *Advances in Neural Information Processing Systems 11*, pages: 585-591 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, Twelfth Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Spatial Learning and Localization in Animals: A Computational Model and Its Implications for Mobile Robots**
*Adaptive Behavior*, 7(2):173-216, 1999 (article)

**SVMs for Histogram Based Image Classification**
*IEEE Transactions on Neural Networks*, (9), 1999 (article)

**Kernel principal component analysis.**
In *Advances in Kernel Methods—Support Vector Learning*, pages: 327-352, (Editors: B Schölkopf and CJC Burges and AJ Smola), MIT Press, Cambridge, MA, 1999 (inbook)

**Estimating the support of a high-dimensional distribution**
(MSR-TR-99-87), Microsoft Research, 1999 (techreport)

**Single-class Support Vector Machines**
*Dagstuhl-Seminar on Unsupervised Learning*, pages: 19-20, (Editors: J. Buhmann, W. Maass, H. Ritter and N. Tishby), 1999 (poster)

**Classification on proximity data with LP-machines**
In *Artificial Neural Networks, 1999. ICANN 99*, 470, pages: 304-309, Conference Publications , IEEE, 9th International Conference on Artificial Neural Networks, 1999 (inproceedings)

**Kernel-dependent support vector error bounds**
In *Artificial Neural Networks, 1999. ICANN 99*, 470, pages: 103-108 , Conference Publications , IEEE, 9th International Conference on Artificial Neural Networks, 1999 (inproceedings)