Combining Support Vector and Mathematical . . . (1998)

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by Kristin P. Bennett
Venue:ADVANCES IN KERNEL METHODS - SUPPORT VECTOR LEARNING

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/08/25 16:31 – Preface Statistical, Bernhard Scholkopf, Christopher J. C. Burges, Er J. Smola
Statistical Learning in Medical Data Analysis – Grace Wahba - 2007
9 Matching Pursuit – Hao Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein, Barbara Klein, Hao Helen Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein, Barbara Klein - 1993
Basis Pursuit – Hao Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein, Barbara Klein, Hao Helen Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein, Barbara Klein - 2002
22 Variable Selection and Model Building via Likelihood Basis Pursuit – Hao Zhang, Grace Wahba, Yi Lin, Meta Voelker, Michael Ferris, Ronald Klein, Barbara Klein - 2002
150 Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV – Grace Wahba, Grace Wahba - 1998
41 Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV – Xiwu Lin, Grace Wahba, Dong Xiang, Fangyu Gao, Ronald Klein Md Barbara Klein
2029 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
8 Advances in Large Margin Classifiers – Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, Dale Schuurmans (eds.) - 1999
2 Generalization Bounds for Convex Combinations of Kernel Functions – Alex J. Smola, Robert C. Williamson, Bernhard Schölkopf, Bernhard Scholkopf Gmd - 1998
1 The Entropy Regularization . . . – Alex J. Smola, John Shawe-Taylor, Bernhard Schölkopf, Robert C. Williamson
11 Entropy Numbers, Operators and Support Vector Kernels – Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf - 1998
2 The Entropy Regularization Information Criterion – Alex J. Smola, John Shawe-Taylor, Bernhard Schölkopf, Robert C. Williamson
23 Generalization Bounds via Eigenvalues of the Gram Matrix – Bernhard Schölkopf, John Shawe-Taylor, Alexander J. Smola, Robert C. Williamson - 1999
1 MODEL BUILDING WITH LIKELIHOOD BASIS PURSUIT – Michael C. Ferris , Meta M. Voelker , Hao Helen Zhang - 2004
5 Optimization of Slice Models – M. Voelker - 2002
26 Using Support Vector Machines for Time Series Prediction – K.-R. Müller, A. J. Smola, G. Rätsch, B. Schölkopf, J. Kohlmorgen, V. Vapnik - 2000
23 A Comparison Between Neural-Network Forecasting Techniques - Case Study: River Flow Forecasting – Amir Atiya, Senior Member, Suzan M. El-shoura, Samir I. Shaheen, Mohamed S. El-sherif - 1999
11 Approximate methods for propagation of uncertainty with gaussian process models. Doctoral dissertation – Agathe Girard, C Agathe Girard - 2004