General Cost Functions for Support Vector Regression (1998)

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by Alex J. Smola , Bernhard Schölkopf , Klaus-Robert Müller
Venue:IN PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS
Citations:33 - 5 self

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309 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
119 The Connection between Regularization Operators and Support Vector Kernels – Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller - 1998
67 On a Kernel-based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion – Alex J. Smola, Bernhard Schölkopf - 1997
168 An equivalence between sparse approximation and Support Vector Machines – Federico Girosi - 1997
1656 A tutorial on support vector machines for pattern recognition – Christopher J. C. Burges - 1998
1 A review of RKHS methods in machine learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
18 A Review of Kernel Methods in Machine Learning – Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola - 2006
3 Convex Cost Functions for Support Vector Regression – Alex Smola, Bernhard Schölkopf, Klaus-Robert Müller - 1998
79 The analysis of decomposition methods for support vector machines – Chih-jen Lin, Nello Cristianini - 1999
55 The Relaxed Online Maximum Margin Algorithm – Yi Li, Philip M. Long - 2000
5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
38 Support Vector Machine - Reference Manual – C. Saunders, M. O. Stitson, J. Weston, Royal Holloway, L. Bottou, B. Schölkopf, A. Smola, Rhul Y. Lecun (at - 1998
2 An Adaptive Support Vector Regression Filter: A Signal Detection Application – Roman Rosipal, Mark Girolami - 1999
4 How to Implement A Priori Information: A Statistical Mechanics Approach – Jörg C. Lemm - 1998
4 Simple Learning Algorithms for Training Support Vector Machines – Colin Campbell, Nello Cristianini - 1998
2 Faithful Representations and Moments of Satisfaction: Probabilistic Methods in Learning and Logic – Lidror Troyansky, Prof Naftali Tishby - 1998
40 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
36 Moderating the Outputs of Support Vector Machine Classifiers – James Tin-yau Kwok - 1999
3 Kernel methods and their potential use in signal processing – O Pérez-cruz, Olivier Bousquet - 2004