Lectures on the Nearest Neighbor Method
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- 119٫99 US$
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- 119٫99 US$
وصف الناشر
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.
Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
Branching Random Walks
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Point Processes and Their Statistical Inference
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Random Walks on Disordered Media and their Scaling Limits
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Approximation Methods in Probability Theory
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Renewal Theory for Perturbed Random Walks and Similar Processes
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Parameter Estimation in Fractional Diffusion Models
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