Publications of B Schölkopf

Journal Article (111)

61.
Journal Article
Waldert, S.; Bensch, M.; Bogdan, M.; Rosenstiel, W.; Schölkopf, B.; Lowery , C.; Eswaran, H.; Preissl, H.: Real-Time Fetal Heart Monitoring in Biomagnetic Measurements Using Adaptive Real-Time ICA. IEEE Transactions on Biomedical Engineering 54 (10), pp. 1867 - 1874 (2007)
62.
Journal Article
Clark, R.; Schweikert, G.; Toomajian, C.; Ossowski , S.; Zeller, G.; Shinn, P.; Warthmann, N.; Hu, T.; Fu, G.; Hinds, D. et al.; Chen, H.; Frazer, K.; Huson, D.; Schölkopf, B.; Nordborg, M.; Rätsch, G.; Ecker, J.; Weigel, D.: Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thaliana. Science 317 (5836), pp. 338 - 342 (2007)
63.
Journal Article
Pfingsten, T.; Herrmann, D.; Schnitzler, T.; Feustel, A.; Schölkopf, B.: Feature Selection for Troubleshooting in Complex Assembly Lines. IEEE Transactions on Automation Science and Engineering 4 (3), pp. 465 - 469 (2007)
64.
Journal Article
Rätsch, G.; Sonnenburg, S.; Srinivasan, J.; Witte, H.; Müller, K.-R.; Sommer, R.-J.; Schölkopf, B.: Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning. PLoS Computational Biology 3 (2 ), pp. 0313 - 0322 (2007)
65.
Journal Article
Franz, M.; Schölkopf, B.: A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression. Neural computation 18 (12), pp. 3097 - 3118 (2006)
66.
Journal Article
Walder, C.; Schölkopf, B.; Chapelle, O.: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Computer Graphics Forum 25 (3), pp. 635 - 644 (2006)
67.
Journal Article
Bousquet, O.; Schölkopf, B.: Comment. Statistical Science 21 (3), pp. 337 - 340 (2006)
68.
Journal Article
Sonnenburg, S.; Rätsch, G.; Schäfer, C.; Schölkopf, B.: Large Scale Multiple Kernel Learning. The Journal of Machine Learning Research 7, pp. 1531 - 1565 (2006)
69.
Journal Article
Hill, N.; Lal, T.; Schröder, M.; Hinterberger, T.; Wilhelm , B.; Nijboer, F.; Mochty, U.; Widmann, G.; Elger, C.; Schölkopf, B. et al.; Kübler, A.; Birbaumer, N.: Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14 (2), pp. 183 - 186 (2006)
70.
Journal Article
Gretton, A.; Belitski, A.; Murayama, Y.; Schölkopf, B.; Logothetis, N.: The Effect of Artifacts on Dependence Measurement in fMRI. Magnetic Resonance Imaging 24 (4), pp. 401 - 409 (2006)
71.
Journal Article
Wu, M.; Schölkopf, B.; BakIr, G.: A Direct Method for Building Sparse Kernel Learning Algorithms. The Journal of Machine Learning Research 7, pp. 603 - 624 (2006)
72.
Journal Article
Graf, A.; Wichmann, F.; Bülthoff, H.; Schölkopf, B.: Classification of Faces in Man and Machine. Neural computation 18 (1), pp. 143 - 165 (2006)
73.
Journal Article
Gretton, A.; Herbrich, R.; Smola, A.; Bousquet, O.; Schölkopf, B.: Kernel Methods for Measuring Independence. The Journal of Machine Learning Research 6, pp. 2075 - 2129 (2005)
74.
Journal Article
Schröder, M.; Lal, T.; Hinterberger, T.; Bogdan, M.; Hill, J.; Birbaumer, N.; Rosenstiel, W.; Schölkopf, B.; Ebrahimi, J.: Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces. EURASIP Journal on Applied Signal Processing 2005 (19), 174746, pp. 3103 - 3112 (2005)
75.
Journal Article
Hein, M.; Bousquet, O.; Schölkopf, B.: Maximal Margin Classification for Metric Spaces. Journal of Computer and System Sciences 71 (3), pp. 333 - 359 (2005)
76.
Journal Article
Kim, K.; Franz, M.; Schölkopf, B.: Iterative Kernel Principal Component Analysis for Image Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (9), pp. 1351 - 1366 (2005)
77.
Journal Article
Chen, P.-H.; Lin, C.-J.; Schölkopf, B.: A tutorial on ν‐support vector machines. Applied Stochastic Models in Business and Industry 21 (2), pp. 111 - 136 (2005)
78.
Journal Article
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), pp. 501 - 506 (2005)
79.
Journal Article
Chalimourda, A.; Schölkopf, B.; Smola, A.: Experimentally optimal ν in support vector regression for different noise models and parameter settings. Neural networks 18 (2), p. 205 - 205 (2005)
80.
Journal Article
Fröhlich, H.; Chapelle, O.; Schölkopf, B.: Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools 13 (4), pp. 791 - 800 (2004)
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