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Empirical Inference Article Kernel Methods and their Potential Use in Signal Processing Perez-Cruz, F., Bousquet, O. IEEE Signal Processing Magazine, (Special issue on Signal Processing for Mining), 2004 (Accepted) PostScript BibTeX

Empirical Inference Conference Paper Kernel Methods for Manifold Estimation Schölkopf, B. In Proceedings in Computational Statistics, Proceedings in Computational Statistics, 441-452, (Editors: J Antoch), Physica-Verlag/Springer, Heidelberg, Germany, COMPSTAT, 2004 BibTeX

Empirical Inference Book Chapter Kernels for graphs Kashima, H., Tsuda, K., Inokuchi, A. In 155-170, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 PDF BibTeX

Empirical Inference Conference Paper Learning from Labeled and Unlabeled Data Using Random Walks Zhou, D., Schölkopf, B. In Pattern Recognition, Proceedings of the 26th DAGM Symposium, 237-244, (Editors: Rasmussen, C.E., H.H. Bülthoff, M.A. Giese and B. Schölkopf), Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 PDF PostScript BibTeX

Empirical Inference Technical Report Learning from Labeled and Unlabeled Data Using Random Walks Zhou, D., Schölkopf, B. Max Planck Institute for Biological Cybernetics, 2004 PDF PostScript BibTeX

Empirical Inference Poster Masking by plaid patterns revisited Wichmann, F. Experimentelle Psychologie. Beitr{\"a}ge zur 46. Tagung experimentell arbeitender Psychologen, 46:285, 2004 BibTeX

Empirical Inference Conference Paper Maximal Margin Classification for Metric Spaces Hein, M., Bousquet, O. In Learning Theory and Kernel Machines, 72-86, (Editors: Schölkopf, B. and Warmuth, M. K.), Springer, Heidelberg, Germany, 16. Annual Conference on Computational Learning Theory / COLT Kernel, 2004 PDF PostScript PDF DOI BibTeX

Empirical Inference Article Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data Tsuda, K., Uda, S., Kin, T., Asai, K. Neural Processing Letters, 19:63-72, 2004 PDF BibTeX

Empirical Inference Conference Paper Multivariate Regression via Stiefel Manifold Constraints BakIr, G., Gretton, A., Franz, M., Schölkopf, B. In Pattern Recognition, Proceedings of the 26th DAGM Symposium, Lecture Notes in Computer Science, Vol. 3175, 262-269, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 PostScript BibTeX

Empirical Inference Technical Report Multivariate Regression with Stiefel Constraints Bakir, G., Gretton, A., Franz, M., Schölkopf, B. (128), MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, 2004 PDF BibTeX

Empirical Inference Conference Paper On the Convergence of Spectral Clustering on Random Samples: The Normalized Case von Luxburg, U., Bousquet, O., Belkin, M. In Proceedings of the 17th Annual Conference on Learning Theory, 457-471, Proceedings of the 17th Annual Conference on Learning Theory, 2004 PDF PostScript BibTeX

Empirical Inference Article Phenotypic Characterization of Human Chondrocyte Cell Line C-20/A4: A Comparison between Monolayer and Alginate Suspension Culture Finger, F., Schorle, C., Söder, S., Zien, A., Goldring, M., Aigner, T. Cells Tissues Organs, 178(2):65-77, 2004 BibTeX

Empirical Inference Book Chapter Protein Classification via Kernel Matrix Completion Kin, T., Kato, T., Tsuda, K. In 261-274, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 PDF BibTeX

Empirical Inference Conference Paper Protein Functional Class Prediction with a Combined Graph Shin, H., Tsuda, K., Schölkopf, B. In Proceedings of the Korean Data Mining Conference, 200-219, Proceedings of the Korean Data Mining Conference, 2004 PDF BibTeX

Empirical Inference Article Protein ranking: from local to global structure in the protein similarity network Weston, J., Elisseeff, A., Zhou, D., Leslie, C., Noble, W. Proceedings of the National Academy of Science, 101(17):6559-6563, 2004 Web BibTeX

Empirical Inference Conference Paper Semi-supervised kernel regression using whitened function classes Franz, M., Kwon, Y., Rasmussen, C., Schölkopf, B. In Pattern Recognition, Proceedings of the 26th DAGM Symposium, Pattern Recognition, Proceedings of the 26th DAGM Symposium, Lecture Notes in Computer Science, Vol. 3175, LNCS 3175:18-26, (Editors: CE Rasmussen and HH Bülthoff and MA Giese and B Schölkopf), Springer, Berlin, Gerrmany, 26th DAGM Symposium, 2004 PDF PostScript BibTeX

Empirical Inference Article Some observations on the effects of slant and texture type on slant-from-texture Rosas, P., Wichmann, F., Wagemans, J. Vision Research, 44(13):1511-1535, 2004 PDF BibTeX

Empirical Inference Ph.D. Thesis Statistical Learning with Similarity and Dissimilarity Functions von Luxburg, U. 1-166, Technische Universität Berlin, Germany, Technische Universität Berlin, Germany, 2004 PDF PostScript BibTeX

Empirical Inference Miscellaneous Statistische Lerntheorie und Empirische Inferenz Schölkopf, B. Jahrbuch der Max-Planck-Gesellschaft, 2004:377-382, 2004 PDF Web BibTeX

Empirical Inference Technical Report Transductive Inference with Graphs Zhou, D., Schölkopf, B. Max Planck Institute for Biological Cybernetics, 2004, See the improved version Regularization on Discrete Spaces. BibTeX

Empirical Inference Conference Paper Unifying Colloborative and Content-Based Filtering. Basilico, J., Hofmann, T. In Proceedings of the 21st International Conference on Machine Learning, ACM International Conference Proceeding Series, 65 , (Editors: Greiner, R. , D. Schuurmans), ACM Press, New York, USA, ICLM, 2004 PDF BibTeX

Empirical Inference Technical Report Support Vector Channel Selection in BCI Lal, T., Schröder, M., Hinterberger, T., Weston, J., Bogdan, M., Birbaumer, N., Schölkopf, B. (120), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, December 2003 PDF Web BibTeX

Empirical Inference Poster Texture and haptic cues in slant discrimination: Measuring the effect of texture type on cue combination Rosas, P., Wichmann, F., Ernst, M., Wagemans, J. Journal of Vision, 3(12):26, 2003 Fall Vision Meeting of the Optical Society of America, December 2003 Web DOI BibTeX

Empirical Inference Article Concentration Inequalities for Sub-Additive Functions Using the Entropy Method Bousquet, O. Stochastic Inequalities and Applications, 56:213-247, Progress in Probability, (Editors: Giné, E., C. Houdré and D. Nualart), November 2003 PostScript BibTeX

Empirical Inference Proceedings Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), LNCS Vol. 2777 Schölkopf, B., Warmuth, M. Proceedings of the 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), COLT/Kernel 2003, 746, Springer, Berlin, Germany, 16th Annual Conference on Learning Theory and 7th Kernel Workshop, November 2003, Lecture Notes in Computer Science ; 2777 DOI BibTeX

Empirical Inference Conference Paper Cluster Kernels for Semi-Supervised Learning Chapelle, O., Weston, J., Schölkopf, B. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 15, 585-592, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Conference Paper Clustering with the Fisher score Tsuda, K., Kawanabe, M., Müller, K. In Advances in Neural Information Processing Systems 15, Advances in Neural Information Processing Systems 15, 729-736, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Technical Report Image Reconstruction by Linear Programming Tsuda, K., Rätsch, G. (118), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, October 2003 PDF BibTeX

Empirical Inference Conference Paper Kernel Dependency Estimation Weston, J., Chapelle, O., Elisseeff, A., Schölkopf, B., Vapnik, V. In Advances in Neural Information Processing Systems 15, 873-880, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Conference Paper Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model Franz, M., Chahl, J. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 15, 1319-1326, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Conference Paper Mismatch String Kernels for SVM Protein Classification Leslie, C., Eskin, E., Weston, J., Noble, W. In Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems 15, 1417-1424, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Conference Paper On the Complexity of Learning the Kernel Matrix Bousquet, O., Herrmann, D. In Advances in Neural Information Processing Systems, 15, Advances in Neural Information Processing Systems 15, 399-406, (Editors: Becker, S. , S. Thrun, K. Obermayer), The MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), October 2003 PDF Web BibTeX

Empirical Inference Thesis Real-Time Face Detection Kienzle, W. Biologische Kybernetik, Eberhard-Karls-Universitaet Tuebingen, Tuebingen, Germany, October 2003 BibTeX

Empirical Inference Conference Paper Adaptive, Cautious, Predictive control with Gaussian Process Priors Murray-Smith, R., Sbarbaro, D., Rasmussen, C., Girard, A. In Proceedings of the 13th IFAC Symposium on System Identification, 1195-1200, (Editors: Van den Hof, P., B. Wahlberg and S. Weiland), Proceedings of the 13th IFAC Symposium on System Identification, August 2003 PDF BibTeX

Empirical Inference Conference Paper Marginalized Kernels between Labeled Graphs Kashima, H., Tsuda, K., Inokuchi, A. In 20th International Conference on Machine Learning, 321-328, (Editors: Faucett, T. and N. Mishra), 20th International Conference on Machine Learning, August 2003 PDF BibTeX

Empirical Inference Talk Remarks on Statistical Learning Theory Bousquet, O. Machine Learning Summer School, August 2003 PDF BibTeX

Empirical Inference Conference Paper Sparse Gaussian Processes: inference, subspace identification and model selection Csato, L., Opper, M. In Proceedings, 1-6, (Editors: Van der Hof, , Wahlberg), The Netherlands, 13th IFAC Symposium on System Identifiaction, August 2003, electronical version; Index ThA02-2 PDF GZIP BibTeX

Empirical Inference Talk Statistical Learning Theory Bousquet, O. Machine Learning Summer School, August 2003 PDF BibTeX

Empirical Inference Conference Paper On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics Ilg, W., Bakir, G., Mezger, J., Giese, M. In Humanoids Proceedings, 0-0, Humanoids Proceedings, July 2003, electronical version PDF BibTeX

Empirical Inference Article Dealing with large Diagonals in Kernel Matrices Weston, J., Schölkopf, B., Eskin, E., Leslie, C., Noble, W. Annals of the Institute of Statistical Mathematics, 55(2):391-408, June 2003 PDF DOI BibTeX

Empirical Inference Technical Report Implicit Wiener Series Franz, M., Schölkopf, B. (114), Max Planck Institute for Biological Cybernetics, June 2003 PDF BibTeX

Empirical Inference Technical Report Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis Kim, K., Franz, M., Schölkopf, B. (109), MPI f. biologische Kybernetik, Tuebingen, June 2003 PDF BibTeX

Empirical Inference Technical Report Learning with Local and Global Consistency Zhou, D., Bousquet, O., Lal, T., Weston, J., Schölkopf, B. (112), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, June 2003 BibTeX

Empirical Inference Technical Report Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms Weston, J., Leslie, C., Elisseeff, A., Noble, W. (111), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, June 2003 PDF BibTeX

Empirical Inference Technical Report Ranking on Data Manifolds Zhou, D., Weston, J., Gretton, A., Bousquet, O., Schölkopf, B. (113), Max Planck Institute for Biological Cybernetics, 72076 Tuebingen, Germany, June 2003 PDF BibTeX

Empirical Inference Article Constructing Descriptive and Discriminative Non-linear Features: Rayleigh Coefficients in Kernel Feature Spaces Mika, S., Rätsch, G., Weston, J., Schölkopf, B., Smola, A., Müller, K. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):623-628, May 2003 DOI BibTeX