A statistically-based learning theory used in pattern recognition, regression estimation, and linear operation inversion.
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A central source of information on kernel based methods, including support vector machines, Gaussian processes.
University of Wisconsin at Madison. Software and technical report.
By Thorsten Joachims - describes an SVM approach to text classification.
An unmoderated discussion list about Support Vector Machines methodology.
Overview of domains in which SVMs have been applied.
A central source of information on kernel based methods, including support vector machines, Gaussian processes.
University of Wisconsin at Madison. Software and technical report.
By Thorsten Joachims - describes an SVM approach to text classification.
Overview of domains in which SVMs have been applied.
An unmoderated discussion list about Support Vector Machines methodology.

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December 12, 2022 at 6:25:06 UTC

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