Graphical Models 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Jordan, Michael Irwin (EDT)/ Sejnowski, Terrence J. (EDT) 作者

The MIT Press

译者

2001-9-1 出版日期

435 页数

USD 40.00 价格

Paperback

丛书系列

9780262600422 图书编码

Graphical Models 在线电子书图书标签: 机器学习计算机概率图模型机器视觉 MachineLearning Graph-Model

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Graphical Models 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Graphical models use graphs to represent and manipulate joint probability distributions. They have their roots in artificial intelligence, statistics, and neural networks. The clean mathematical formalism of the graphical models framework makes it possible to understand a wide variety of network-based approaches to computation, and in particular to understand many neural network algorithms and architectures as instances of a broader probabilistic methodology. It also makes it possible to identify novel features of neural network algorithms and architectures and to extend them to more general graphical models.This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithms and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research.Contributors H. Attias, C. M. Bishop, B. J. Frey, Z. Ghahramani, D. Heckerman, G. E. Hinton, R. Hofmann, R. A. Jacobs, Michael I. Jordan, H. J. Kappen, A. Krogh, R. Neal, S. K. Riis, F. B. Rodriguez, L. K. Saul, Terrence J. Sejnowski, P. Smyth, M. E. Tipping, V. Tresp, Y. Weiss.

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