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Graphical models : foundations of neural computation Titelvorschau
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Graphical models : foundations of neural computation

Verfasser/in: Michael Irwin Jordan; Terrence J Sejnowski
Verlag: Cambridge, Mass. : MIT Press, ©2001.
Serien: Computational neuroscience.
Ausgabe/Format   Print book : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:

This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selections range from foundational papers of  Weiterlesen…

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Dokumenttyp: Buch
Alle Autoren: Michael Irwin Jordan; Terrence J Sejnowski
ISBN: 0262600420 9780262600422
OCLC-Nummer: 45917305
Anmerkungen: "A Bradford book."
Beschreibung: xxiv, 421 pages : illustrations ; 23 cm.
Inhalt: 1 Probabilistic Independence Networks for Hidden Markov Probability Models / Padhraic Smyth, David Heckerman, Michael I. Jordan 1 --
2 Learning and Relearning in Boltzmann Machines / G.E. Hinton, T.J. Sejnowski 45 --
3 Learning in Boltzmann Trees / Lawrence Saul, Michael I. Jordan 77 --
4 Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space / Geoffrey E. Hinton 89 --
5 Attractor Dynamics in Feedforward Neural Networks / Lawrence K. Saul, Michael I. Jordan 97 --
6 Efficient Learning in Boltzmann Machines Using Linear Response Theory / H.J. Kappen, F.B. Rodriguez 121 --
7 Asymmetric Parallel Boltzmann Machines Are Belief Networks / Radford M. Neal 141 --
8 Variational Learning in Nonlinear Gaussian Belief Networks / Brendan J. Frey, Geoffrey E. Hinton 145 --
9 Mixtures of Probabilistic Principal Component Analyzers / Michael E. Tipping, Christopher M. Bishop 167 --
10 Independent Factor Analysis / H. Attias 207 --
11 Hierarchical Mixtures of Experts and the EM Algorithm / Michael I. Jordan, Robert A. Jacobs 257 --
12 Hidden Neural Networks / Anders Krogh, Soren Kamaric Riis 291 --
13 Variational Learning for Switching State-Space Models / Zoubin Ghahramani, Geoffrey E. Hinton 315 --
14 Nonlinear Time-Series Prediction with Missing and Noisy Data / Volker Tresp, Reimar Hofmann 349 --
15 Correctness of Local Probability Propagation in Graphical Models with Loops / Yair Weiss 367.
Serientitel: Computational neuroscience.
Verfasserangabe: edited by Michael I. Jordan and Terrence J. Sejnowski.

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