2118 results
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**Luminance Artifacts on CRT Displays**
In *IEEE Visualization*, pages: 571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 (inproceedings)

**Regularized principal manifolds**
*Journal of Machine Learning Research*, 1, pages: 179-209, June 2001 (article)

**Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells**
Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 (diplomathesis)

**The psychometric function: II. Bootstrap-based confidence intervals and sampling**
*Perception and Psychophysics*, 63 (8), pages: 1314-1329, 2001 (article)

**The psychometric function: I. Fitting, sampling and goodness-of-fit**
*Perception and Psychophysics*, 63 (8), pages: 1293-1313, 2001 (article)

**Unsupervised Segmentation and Classification of Mixtures of Markovian Sources**
In *The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics)*, pages: 1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface - Frontiers in Data Mining and Bioinformatics), 2001 (inproceedings)

**Markovian domain fingerprinting: statistical segmentation of protein sequences**
*Bioinformatics*, 17(10):927-934, 2001 (article)

**Unsupervised Sequence Segmentation by a
Mixture of Switching Variable Memory Markov Sources**
In *In the proceeding of the 18th International Conference on Machine Learning (ICML 2001)*, pages: 513-520, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**Inference Principles and Model Selection**
(01301), Dagstuhl Seminar, 2001 (techreport)

**Advances in Large Margin Classifiers**
pages: 422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 (book)

**An Introduction to Kernel-Based Learning Algorithms**
In *Handbook of Neural Network Signal Processing*, 4, (Editors: Yu Hen Hu and Jang-Neng Hwang), CRC Press, 2000 (inbook)

**Choosing nu in support vector regression with
different noise models — theory and experiments**
In *Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium*, IEEE, International Joint Conference on Neural Networks, 2000 (inproceedings)

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

**SVMs — a practical consequence of learning theory**
*IEEE Intelligent Systems and their Applications*, 13(4):18-21, July 1998 (article)

**Prior knowledge in support vector kernels**
In *Advances in Neural Information Processing Systems 10*, pages: 640-646 , (Editors: M Jordan and M Kearns and S Solla ), MIT Press, Cambridge, MA, USA, Eleventh Annual Conference on Neural Information Processing (NIPS), June 1998 (inproceedings)

**From regularization operators to support vector kernels**
In *Advances in Neural Information Processing Systems 10*, pages: 343-349, (Editors: M Jordan and M Kearns and S Solla), MIT Press, Cambridge, MA, USA, 11th Annual Conference on Neural Information Processing (NIPS), June 1998 (inproceedings)

**Learning view graphs for robot navigation**
*Autonomous Robots*, 5(1):111-125, March 1998 (article)

**Incorporating invariances in support vector learning machines**
In *Artificial Neural Networks: ICANN 96, LNCS vol. 1112*, pages: 47-52, (Editors: C von der Malsburg and W von Seelen and JC Vorbrüggen and B Sendhoff), Springer, Berlin, Germany, 6th International Conference on Artificial Neural Networks, July 1996, volume 1112 of Lecture Notes in Computer Science
(inproceedings)