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Stochastic processes on graphs with cycles: geometric and variational approaches
Publisher:
  • Massachusetts Institute of Technology
  • 201 Vassar Street, W59-200 Cambridge, MA
  • United States
Order Number:AAI0804024
Pages:
1
Bibliometrics
Abstract

No abstract available.

Cited By

  1. Vats D and Nowak R (2014). A junction tree framework for undirected graphical model selection, The Journal of Machine Learning Research, 15:1, (147-191), Online publication date: 1-Jan-2014.
  2. Oka A and Lampe L (2019). Incremental distributed identification of Markov random field models in wireless sensor networks, IEEE Transactions on Signal Processing, 57:6, (2396-2405), Online publication date: 1-Jun-2009.
  3. Sutton C, McCallum A and Rohanimanesh K (2007). Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data, The Journal of Machine Learning Research, 8, (693-723), Online publication date: 1-May-2007.
  4. Caetano T, Caelli T, Schuurmans D and Barone D (2006). Graphical Models and Point Pattern Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, 28:10, (1646-1663), Online publication date: 1-Oct-2006.
  5. Wainwright M, Jaakkola T and Willsky A (2019). Tree consistency and bounds on the performance of the max-product algorithm and its generalizations, Statistics and Computing, 14:2, (143-166), Online publication date: 1-Apr-2004.
  6. ACM
    Sutton C, Rohanimanesh K and McCallum A Dynamic conditional random fields Proceedings of the twenty-first international conference on Machine learning
  7. ACM
    Delouille V, Neelamani R and Baraniuk R Robust distributed estimation in sensor networks using the embedded polygons algorithm Proceedings of the 3rd international symposium on Information processing in sensor networks, (405-413)
  8. Wainwright M, Jaakkola T and Willsky A A new class of upper bounds on the log partition function Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence, (536-543)
Contributors
  • University of California, Berkeley
  • Massachusetts Institute of Technology
  • MIT Computer Science & Artificial Intelligence Laboratory

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