Graphical Models: Foundations of Neural Computation

摘要: From the Publisher: Graphical models use graphs to represent and manipulate joint probability distributions. They have their roots in artificial intelligence, statistics, neural networks. The clean mathematical formalism of graphical framework makes it possible understand a wide variety network-based approaches computation, particular many network algorithms architectures as instances broader probabilistic methodology. It also identify novel features extend them more general models. This book exemplifies interplay between formal exploration new architectures. articles, which are drawn from journal Neural Computation, range foundational papers historical importance results at cutting edge research.