180 results
(View BibTeX file of all listed publications)

**Transductive Inference for Estimating Values of Functions**
In *Advances in Neural Information Processing Systems 12*, pages: 421-427, (Editors: Solla, S.A. , T.K. Leen, K-R Müller), MIT Press, Cambridge, MA, USA, Thirteenth Annual Neural Information Processing Systems Conference (NIPS), June 2000 (inproceedings)

**The entropy regularization information criterion**
In *Advances in Neural Information Processing Systems 12*, pages: 342-348, (Editors: SA Solla and TK Leen and K-R Müller), MIT Press, Cambridge, MA, USA, 13th Annual Neural Information Processing Systems Conference (NIPS), June 2000 (inproceedings)

**Model Selection for Support Vector Machines**
In *Advances in Neural Information Processing Systems 12*, pages: 230-236, (Editors: Solla, S.A. , T.K. Leen, K-R Müller), MIT Press, Cambridge, MA, USA, Thirteenth Annual Neural Information Processing Systems Conference (NIPS), June 2000 (inproceedings)

**Generalization Abilities of Ensemble Learning Algorithms: OLA, Bagging, Boosting**
In *Proc. of the Korea Information Science Conference*, pages: 226-228, Conference on Korean Information Science, April 2000 (inproceedings)

**A simple iterative approach to parameter optimization**
In *RECOMB2000*, pages: 318-327, ACM Press, New York, NY, USA, Forth Annual Conference on Research in Computational Molecular Biology, April 2000 (inproceedings)

**Bayesian modelling of fMRI time series**
In pages: 754-760, (Editors: Sara A. Solla, Todd K. Leen and Klaus-Robert Müller), 2000 (inproceedings)

**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)

**A High Resolution and Accurate Pentium Based Timer**
In 2000 (inproceedings)

**Robust Ensemble Learning for Data Mining**
In *Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining*, 1805, pages: 341-341, Lecture Notes in Artificial Intelligence, (Editors: H. Terano), Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2000 (inproceedings)

**Sparse greedy matrix approximation for machine learning.**
In *17th International Conference on Machine Learning, Stanford, 2000*, pages: 911-918, (Editors: P Langley), Morgan Kaufman, San Fransisco, CA, USA, 17th International Conference on Machine Learning (ICML), 2000 (inproceedings)

**The Kernel Trick for Distances**
(MSR-TR-2000-51), Microsoft Research, Redmond, WA, USA, 2000 (techreport)

**Enhanced Password Authentication Through Typing Biometrics with K-Means Clustering Algorithm**
In 2000 (inproceedings)

**Entropy Numbers of Linear Function Classes.**
In *13th Annual Conference on Computational Learning Theory*, pages: 309-319, (Editors: N Cesa-Bianchi and S Goldman), Morgan Kaufman, San Fransisco, CA, USA, 13th Annual Conference on Computational Learning Theory (COLT), 2000 (inproceedings)

**Kernel method for percentile feature extraction**
(MSR-TR-2000-22), Microsoft Research, 2000 (techreport)

**Navigation mit Schnappschüssen**
In *Mustererkennung 1998*, pages: 421-428, (Editors: P Levi and R-J Ahlers and F May and M Schanz), Springer, Berlin, Germany, 20th DAGM-Symposium, October 1998 (inproceedings)

**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)

**Qualitative Modeling for Data Miners Requirements**
In *Proc. of the Korean Management Information Systems*, pages: 65-73, Conference on the Korean Management Information Systems, April 1998 (inproceedings)

**Fast approximation of support vector kernel expansions, and an interpretation of clustering as approximation in feature spaces.**
In *Mustererkennung 1998*, pages: 125-132, Informatik aktuell, (Editors: P Levi and M Schanz and R-J Ahlers and F May), Springer, Berlin, Germany, 20th DAGM-Symposium, 1998 (inproceedings)

**Generalization bounds and learning rates for Regularized principal manifolds**
NeuroCOLT, 1998, NeuroColt2-TR 1998-027 (techreport)

**Kernel PCA pattern reconstruction via approximate pre-images.**
In *8th International Conference on Artificial Neural Networks*, pages: 147-152, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)

**Generalization Bounds for Convex Combinations of Kernel Functions**
Royal Holloway College, 1998 (techreport)

**Generalization Performance of Regularization Networks and Support Vector Machines via Entropy
Numbers of Compact Operators**
(19), NeuroCOLT, 1998, Accepted for publication in IEEE Transactions on Information Theory (techreport)

**Quantization Functionals and Regularized PrincipalManifolds**
NeuroCOLT, 1998, NC2-TR-1998-028 (techreport)

**Support Vector methods in learning and feature extraction**
*Ninth Australian Conference on Neural Networks*, pages: 72-78, (Editors: T. Downs, M. Frean and M. Gallagher), 1998 (talk)

**Convex Cost Functions for Support Vector Regression**
In *8th International Conference on Artificial Neural Networks*, pages: 99-104, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)

**Support vector regression with automatic accuracy control.**
In *ICANN'98*, pages: 111-116, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, International Conference on Artificial Neural Networks (ICANN'98), 1998 (inproceedings)

**General cost functions for support vector regression.**
In *Ninth Australian Conference on Neural Networks*, pages: 79-83, (Editors: T Downs and M Frean and M Gallagher), 9th Australian Conference on Neural Networks (ACNN'98), 1998 (inproceedings)

**Asymptotically optimal choice of varepsilon-loss for support vector machines.**
In *8th International Conference on Artificial Neural Networks*, pages: 105-110, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)

**Support Vector Machine Reference Manual**
(CSD-TR-98-03), Department of Computer Science, Royal Holloway, University of London, 1998 (techreport)