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Report (13)

101.
Report
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.
102.
Report
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.
103.
Report
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.
104.
Report
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.
105.
Report
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.
106.
Report
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.
107.
Report
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)
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