Publications of B Schölkopf

Journal Article (111)

41.
Journal Article
Kienzle, W.; Franz, M.; Schölkopf, B.; Wichmann, F.: Center-surround patterns emerge as optimal predictors for human saccade targets. Journal of Vision 9 (5), 7, pp. 1 - 15 (2009)
42.
Journal Article
Martens, S.; Hill, N.; Farquhar, J.; Schölkopf, B.: Overlap and refractory effects in a Brain-Computer Interface speller based on the visual P300 Event-Related Potential. Journal of Neural Engineering 6 (2), 026003, pp. 1 - 9 (2009)
43.
Journal Article
Hofmann, M.; Pichler, B.; Schölkopf, B.; Beyer, T.: Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques. European Journal of Nuclear Medicine and Molecular Imaging 36 (Supplement 1), pp. 93 - 104 (2009)
44.
Journal Article
Graf, A.; Bousquet, O.; Rätsch, G.; Schölkopf, B.: Prototype Classification: Insights from Machine Learning. Neural computation 21 (1), pp. 272 - 300 (2009)
45.
Journal Article
Steinke, F.; Schölkopf, B.: Kernels, Regularization and Differential Equations. Pattern Recognition 41 (11), pp. 3271 - 3286 (2008)
46.
Journal Article
Ben-Hur, A.; Ong, C.; Sonnenburg, S.; Schölkopf, B.; Rätsch, G.: Support Vector Machines and Kernels for Computational Biology. PLoS Computational Biology 4 (10), pp. 1 - 10 (2008)
47.
Journal Article
Hofmann, M.; Steinke, F.; Scheel, V.; Charpiat, G.; Farquhar, J.; Aschoff, P.; Brady, M.; Schölkopf, B.; Pichler, B.: MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration. Journal of Nuclear Medicine 49 (11), pp. 1875 - 1883 (2008)
48.
Journal Article
Jäkel, F.; Schölkopf, B.; Wichmann, F.: Similarity, Kernels, and the Triangle Inequality. Journal of Mathematical Psychology 52 (2), pp. 297 - 303 (2008)
49.
Journal Article
Hinterberger, T.; Widmann G, Lal, T.; Hill, J.; Tangermann M, Rosenstiel W, Schölkopf, B.; Elger, C.; Birbaumer, N.: Voluntary Brain Regulation and Communication with ECoG-Signals. Epilepsy and Behavior 13 (2), pp. 300 - 306 (2008)
50.
Journal Article
Hinterberger, T.; Widmann, G.; Lal, T.; Hill, J.; Tangermann, M.; Rosenstiel , W.; Schölkopf, B.; Elger, C.; Birbaumer, N.: Voluntary brain regulation and communication with electrocorticogram signals. Epilepsy and Behavior 13 (2), pp. 300 - 306 (2008)
51.
Journal Article
Laubinger, S.; Zeller, G.; Henz, S.; Sachsenberg, T.; Widmer, C.; Naouar, N.; Vuylsteke, M.; Schölkopf, B.; Rätsch, G.; Weigel, D.: At-TAX: A Whole Genome Tiling Array Resource for Developmental Expression Analysis and Transcript Identification in Arabidopsis thaliana. Genome Biology 9 (7), R112, pp. 1 - 16 (2008)
52.
Journal Article
Hofmann, T.; Schölkopf, B.; Smola, A.: Kernel Methods in Machine Learning. The Annals of Statistics 36 (3), pp. 1171 - 1220 (2008)
53.
Journal Article
Freeman, W.; Perona, P.; Schölkopf, B.: Guest Editorial. International Journal of Computer Vision 77 (1-3), p. 1 (2008)
54.
Journal Article
Jäkel, F.; Schölkopf, B.; Wichmann, F.: Generalization and Similarity in Exemplar Models of Categorization: Insights from Machine Learning. Psychonomic Bulletin & Review 15 (2), pp. 256 - 271 (2008)
55.
Journal Article
Steinke, F.; Hein, M.; Peters, J.; Schölkopf, B.: Manifold-valued Thin-plate Splines with Applications in Computer Graphics. Computer Graphics Forum 27 (2), pp. 437 - 448 (2008)
56.
Journal Article
Shin, H.; Tsuda, K.; Schölkopf, B.: Protein Functional Class Prediction With a Combined Graph. Expert Systems with Applications 36 (2,2), pp. 3284 - 3292 (2008)
57.
Journal Article
Sun, X.; Janzing, D.; Schölkopf, B.: Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing 71 (7-9), pp. 1248 - 1256 (2008)
58.
Journal Article
Macke, J.; Maack, N.; Gupta, R.; Denk, W.; Schölkopf, B.; Borst, A.: Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes. Journal of Neuroscience Methods 167 (2), pp. 349 - 357 (2008)
59.
Journal Article
Jäkel, F.; Schölkopf, B.; Wichmann, F.: A Tutorial on Kernel Methods for Categorization. Journal of Mathematical Psychology 51 (6), pp. 343 - 358 (2007)
60.
Journal Article
Sonnenburg, S.; Braun, M.; Ong, C.; Bengio, S.; Bottou, L.; Holmes , G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C. et al.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent, P.; Weston, J.; Williamson, R.: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research 8, pp. 2443 - 2466 (2007)
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