Combining Support Vector and Mathematical . . . (1998)

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

Active Bibliography

/08/25 16:31 – Preface Statistical, Bernhard Scholkopf, Christopher J. C. Burges, Er J. Smola
2084 Online Learning with Kernels – Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson - 2003
521 Estimating the Support of a High-Dimensional Distribution – Bernhard Schölkopf, John C. Platt, John Shawe-taylor, Alex J. Smola, Robert C. Williamson - 1999
584 Sparse Bayesian Learning and the Relevance Vector Machine – Michael E. Tipping, Alex Smola - 2001
590 A Comparison of Methods for Multiclass Support Vector Machines – Chih-Wei Hsu, Chih-Jen Lin - 2002
540 Learning to act using real-time dynamic programming – Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh - 1993
493 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
475 Making Large-Scale Support Vector Machine Learning Practical – Thorsten Joachims - 1998
455 Adaptive-Network-Based Fuzzy Inference System – J S Jang - 1993