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| Document Type: | Book |
|---|---|
| All Authors / Contributors: |
Michael Irwin Jordan; Terrence J Sejnowski |
| ISBN: | 0262600420 9780262600422 |
| OCLC Number: | 45917305 |
| Notes: | "A Bradford book." |
| Description: | xxiv, 421 p. : ill. ; 23 cm. |
| Contents: | 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. |
| Series Title: | Computational neuroscience. |
| Responsibility: | edited by Michael I. Jordan and Terrence J. Sejnowski. |
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