ei
Gretton, A., Herbrich, R., Smola, A., Bousquet, O., Schölkopf, B.
Kernel Methods for Measuring Independence
Journal of Machine Learning Research, 6, pages: 2075-2129, December 2005 (article)
ei
Quinonero Candela, J., Rasmussen, C.
A Unifying View of Sparse Approximate Gaussian Process Regression
Journal of Machine Learning Research, 6, pages: 1935-1959, December 2005 (article)
ei
BakIr, G.
Extension to Kernel Dependency Estimation with Applications to Robotics
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)
ei
Hein, M.
Geometrical aspects of statistical learning theory
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)
ei
Hein, M., Bousquet, O., Schölkopf, B.
Maximal Margin Classification for Metric Spaces
Journal of Computer and System Sciences, 71(3):333-359, October 2005 (article)
ei
Kato, T., Tsuda, K., Asai, K.
Selective integration of multiple biological data for supervised
network inference
Bioinformatics, 21(10):2488 , October 2005 (article)
ei
Kuss, M., Rasmussen, C.
Assessing Approximate Inference for Binary Gaussian Process Classification
Journal of Machine Learning Research, 6, pages: 1679 , October 2005 (article)
ei
Steinke, F.
Implicit Surfaces For Modelling
Human Heads
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)
ei
Banerjee, A., Dhillon, I., Ghosh, J., Sra, S.
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
Journal of Machine Learning Research, 6, pages: 1345-1382, September 2005 (article)
ei
Steinke, F., Schölkopf, B., Blanz, V.
Support Vector Machines for 3D Shape Processing
Computer Graphics Forum, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)
ei
Tsuda, K., Shin, H., Schölkopf, B.
Fast Protein Classification with Multiple Networks
Bioinformatics, 21(Suppl. 2):59-65, September 2005 (article)
ei
Kim, K., Franz, M., Schölkopf, B.
Iterative Kernel Principal Component Analysis for Image Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(9):1351-1366, September 2005 (article)
ei
Lal, TN.
Machine Learning Methods for Brain-Computer Interdaces
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)
ei
Schorle, C., Finger, F., Zien, A., Block, J., Gebhard, P., Aigner, T.
Phenotypic characterization of chondrosarcoma-derived cell lines
Cancer Letters, 226(2):143-154, August 2005 (article)
ei
Bartlett, P., Bousquet, O., Mendelson, S.
Local Rademacher Complexities
The Annals of Statistics, 33(4):1497-1537, August 2005 (article)
ei
Ong, CS., Smola, A., Williamson, R.
Learning the Kernel with Hyperkernels
Journal of Machine Learning Research, 6, pages: 1043-1071, July 2005 (article)
ei
Tsuda, K., Rätsch, G.
Image Reconstruction by Linear Programming
IEEE Transactions on Image Processing, 14(6):737-744, June 2005 (article)
ei
Rätsch, G., Sonnenburg, S., Schölkopf, B.
RASE: recognition of alternatively spliced exons in C.elegans
Bioinformatics, 21(Suppl. 1):i369-i377, June 2005 (article)
ei
Tsuda, K., Rätsch, G., Warmuth, M.
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection
Journal of Machine Learning Research, 6, pages: 995-1018, June 2005 (article)
ei
Rosas, P., Wagemans, J., Ernst, M., Wichmann, F.
Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination
Journal of the Optical Society of America A, 22(5):801-809, May 2005 (article)
ei
Tanner, TG.
Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)
ei
Kuss, M., Jäkel, F., Wichmann, F.
Bayesian inference for psychometric functions
Journal of Vision, 5(5):478-492, May 2005 (article)
ei
Schmid, M., Davison, T., Henz, S., Pape, U., Demar, M., Vingron, M., Schölkopf, B., Weigel, D., Lohmann, J.
A gene expression map of Arabidopsis thaliana development
Nature Genetics, 37(5):501-506, April 2005 (article)
ei
Chalimourda, A., Schölkopf, B., Smola, A.
Experimentally optimal v in support vector regression for different noise models and parameter settings
Neural Networks, 18(2):205-205, March 2005 (article)
ei
Shin, H., Cho, S.
Invariance of Neighborhood Relation under Input Space to Feature Space Mapping
Pattern Recognition Letters, 26(6):707-718, 2005 (article)
ei
Boucheron, S., Bousquet, O., Lugosi, G.
Theory of Classification: A Survey of Some Recent Advances
ESAIM: Probability and Statistics, 9, pages: 323 , 2005 (article)
ei
Boucheron, S., Bousquet, O., Lugosi, G., Massart, P.
Moment Inequalities for Functions of Independent Random Variables
To appear in Annals of Probability, 33, pages: 514-560, 2005 (article)
ei
Chen, P., Lin, C., Schölkopf, B.
A tutorial on v-support vector machines
Applied Stochastic Models in Business and Industry, 21(2):111-136, 2005 (article)
ei
Schröder, M., Lal, T., Hinterberger, T., Bogdan, M., Hill, J., Birbaumer, N., Rosenstiel, W., Schölkopf, B.
Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces
EURASIP Journal on Applied Signal Processing, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 (article)
ei
Smola, A., Mika, S., Schölkopf, B., Williamson, R.
Regularized principal manifolds
Journal of Machine Learning Research, 1, pages: 179-209, June 2001 (article)
ei
Eichhorn, J.
Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells
Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 (diplomathesis)
ei
Wichmann, F., Hill, N.
The psychometric function: II. Bootstrap-based confidence intervals and sampling
Perception and Psychophysics, 63 (8), pages: 1314-1329, 2001 (article)
ei
Wichmann, F., Hill, N.
The psychometric function: I. Fitting, sampling and goodness-of-fit
Perception and Psychophysics, 63 (8), pages: 1293-1313, 2001 (article)
ei
Bejerano, G., Seldin, Y., Margalit, H., Tishby, N.
Markovian domain fingerprinting: statistical segmentation of protein sequences
Bioinformatics, 17(10):927-934, 2001 (article)