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Kernel Mean Embedding of Distributions
Language: en
Pages: 141
Authors: Krikamol Muandet
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Type: BOOK - Published: 2017 - Publisher:

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A Hilbert space embedding of a distribution--in short, a kernel mean embedding--has recently emerged as a powerful tool for machine learning and statistical inf
Kernel Mean Embedding of Distributions
Language: en
Pages: 154
Authors: Krikamol Muandet
Categories: Computers
Type: BOOK - Published: 2017-06-28 - Publisher:

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Provides a comprehensive review of kernel mean embeddings of distributions and, in the course of doing so, discusses some challenging issues that could potentia
Algorithmic Learning Theory
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Pages: 415
Authors: Marcus Hutter
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Type: BOOK - Published: 2007-09-17 - Publisher: Springer Science & Business Media

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This book constitutes the refereed proceedings of the 18th International Conference on Algorithmic Learning Theory, ALT 2007, held in Sendai, Japan, October 1-4
Reproducing Kernel Hilbert Spaces in Probability and Statistics
Language: en
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Type: BOOK - Published: 2011-06-28 - Publisher: Springer Science & Business Media

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The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and pro
Probabilistic Machine Learning
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Type: BOOK - Published: 2023-08-15 - Publisher: MIT Press

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An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, gen