Publications of B Schölkopf

Schölkopf, B.: The Kernel Trick for Distances. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2000), 9 pp.

Schölkopf, B.; Platt, J.; Smola, A.: Kernel method for percentile feature extraction. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2000)

Smola, A.; Mangasarian, O.; Schölkopf, B.: Sparse Kernel Feature Analysis. University of Wisconsin, Data Mining Institute, Madison, WI, USA (1999), 21 pp.

Schölkopf, B.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Generalization Bounds via Eigenvalues of the Gram matrix. University of London: Royal Holloway College: NeuroCOLT 2, London, UK (1999), 15 pp.

Smola, A.; Mika, S.; Schölkopf, B.: Quantization Functionals and Regularized Principal Manifolds. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 9 pp.

Smola, A.; Williamson, R.; Schölkopf, B.: Generalization bounds and learning rates for Regularized principal manifolds. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 9 pp.

Smola, A.; Williamson, R.; Schölkopf, B.: Generalization Bounds for Convex Combinations of Kernel Functions. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 11 pp.

Williamson, R.; Smola, A.; Schölkopf, B.: Generalization Performance of Regularization Networks and Support Vector Machines via Entropy Numbers of Compact Operators. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 39 pp.

Saunders, C.; Stitson, M.; Weston, J.; Bottou, L.; Schölkopf, B.; Smola, A.: Support Vector Machine Reference Manual. Department of Computer Science, Royal Holloway, University of London, London, UK (1998), 26 pp.

Franz, M.; Schölkopf, B.; Bülthoff, H.: Homing by parameterized scene matching (Technical Report of the Max Planck Institute for Biological Cybernetics, 46). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1997), 9 pp.

Schölkopf, B.; Smola, A.; Müller, K.-R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem (Technical Report of the Max Planck Institute for Biological Cybernetics, 44). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1996)

Franz, M.; Schölkopf, B.; Georg, P.; Mallot, H.; Bülthoff, H.: Learning View Graphs for Robot Navigation (Technical Report of the Max Planck Institute for Biological Cybernetics, 33). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1996)

Vapnik, V.; Burges, C.; Schölkopf, B.: A New Method for Constructing Artificial Neural Networks. AT & T, Bell Laboratories, Murray Hill, NJ, USA (1995)

Schölkopf, B.; Mallot, H.: View-based cognitive mapping and path planning (Technical Report of the Max Planck Institute for Biological Cybernetics, 7). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1994), 30 pp.

Schölkopf, B.: Übersicht durch Übersehen: "Veränderungsblindheit" in der Wahrnehmung von Szenen: Warum erscheint die Welt stabil? Frankfurter Allgemeine Zeitung: Wissenschaftsbeilage, p. N1 (1998)

Pichler, B.; Hofmann, M.; Schölkopf, B.; Steinke, F.: Method for determining a property map for an object in particular for a living being based on at least one first image in particular a nuclear magnetic resonance image. WO2008006451A1 (2008)

Hofmann, M.; Schölkopf, B.; Steinke, F.; Pichler, B.: MR/PET Attenuation Correction. (2006)

Besserve, M.; Buchholz, S.; Schölkopf, B.: Assaying Large-scale Testing Models to InterpretCovid-19 Case Numbers: A Cross-country Study. (submitted)