Publikationen von AJ Smola

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

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.

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.

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.

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.

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.

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.

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)