Suchergebnisse

Bericht (52)

481.
Bericht
Gretton, A.; Herbrich R, Schölkopf, B.; Rayner, P.: Bound on the Leave-One-Out Error for 2-Class Classification using nu-SVMs. (2001)
482.
Bericht
Gretton, A.; Herbrich R, Schölkopf, B.; Smola, A.; Rayner, P.: Bound on the Leave-One-Out Error for Density Support Estimation using nu-SVMs. (2001)
483.
Bericht
Weston, J.; Elisseeff, A.; Schölkopf, B.: Use of the $ell_0$-norm with linear models and kernel methods. Biowulf Technologies, Savannah, GA, USA (2001)
484.
Bericht
Schölkopf, B.; Platt, J.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Estimating the support of a high-dimensional distribution. Microsoft Research, Microsoft Corporation, Redmond, VA, USA (2000), 30 S.
485.
Bericht
Schölkopf, B.: The Kernel Trick for Distances. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2000), 9 S.
486.
Bericht
Schölkopf, B.; Platt, J.; Smola, A.: Kernel method for percentile feature extraction. Microsoft Research, Microsoft Corporation, Redmond, WA, USA (2000)
487.
Bericht
Smola, A.; Mangasarian, O.; Schölkopf, B.: Sparse Kernel Feature Analysis. University of Wisconsin, Data Mining Institute, Madison, WI, USA (1999), 21 S.
488.
Bericht
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 S.
489.
Bericht
Smola, A.; Mika, S.; Schölkopf, B.: Quantization Functionals and Regularized Principal Manifolds. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 9 S.
490.
Bericht
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 S.
491.
Bericht
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 S.
492.
Bericht
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 S.
493.
Bericht
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 S.
494.
Bericht
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)
495.
Bericht
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)
496.
Bericht
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)
497.
Bericht
Vapnik, V.; Burges, C.; Schölkopf, B.: A New Method for Constructing Artificial Neural Networks. AT & T, Bell Laboratories, Murray Hill, NJ, USA (1995)
498.
Bericht
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 S.

Sonstige (2)

499.
Sonstige
Hofmann, M.; Schölkopf, B.; Steinke, F.; Pichler, B.: MR/PET Attenuation Correction, (2006)
500.
Sonstige
Schölkopf, B.: Übersicht durch Übersehen: "Veränderungsblindheit" in der Wahrnehmung von Szenen: Warum erscheint die Welt stabil?, Frankfurter Allgemeine Zeitung: Wissenschaftsbeilage, S. N1 (1998)
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