Direct Methods in Statistical Learning Theory
Part of the Statistics for Engineering and Information Science book series (ISS)
In this chapter we introduce a new approach to the main problems of statistical learning theory: pattern recognition, regression estimation, and density estimation.
KeywordsConditional Probability Density Estimation Probability Distribution Function Conditional Density Reproduce Kernel Hilbert Space
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© Springer Science+Business Media New York 2000