Probabilistic Graphical Models: Publications
-
[1]
Linear and Parallel Learning for Markov Random Fields
Yariv Dror Mizrahi‚ Misha Denil and Nando de Freitas
In International Conference on Machine Learning (ICML). 2014.
Details about Linear and Parallel Learning for Markov Random Fields | BibTeX data for Linear and Parallel Learning for Markov Random Fields | Download (pdf) of Linear and Parallel Learning for Markov Random Fields
-
[2]
Inference Strategies for Solving Semi−Markov Decision Processes
Matthew Hoffman and Nando de Freitas
Chapter 5. Pages 82–96. Hershey: IGI Global. 2012.
Details about Inference Strategies for Solving Semi−Markov Decision Processes | BibTeX data for Inference Strategies for Solving Semi−Markov Decision Processes | Download (pdf) of Inference Strategies for Solving Semi−Markov Decision Processes
-
[3]
Information Theory Tools to Rank MCMC Algorithms on Probabilistic Graphical Models
Firas Hamze‚ Jean−Noel Rivasseau and Nando de Freitas
In Information Theory and Applications Workshop (ITA). 2006.
Details about Information Theory Tools to Rank MCMC Algorithms on Probabilistic Graphical Models | BibTeX data for Information Theory Tools to Rank MCMC Algorithms on Probabilistic Graphical Models | Download (pdf) of Information Theory Tools to Rank MCMC Algorithms on Probabilistic Graphical Models
-
[4]
Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs
Firas Hamze and Nando De Freitas
In Y. Weiss‚ B. Schölkopf and J. Platt, editors, Advances in Neural Information Processing Systems (NIPS). Pages 491–498. Cambridge‚ MA. 2005. MIT Press.
Details about Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs | BibTeX data for Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs | Download (pdf) of Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs
-
[5]
From Fields to Trees
Firas Hamze and Nando de Freitas
In Uncertainty in Artificial Intelligence (UAI). Pages 243–250. Arlington‚ Virginia. 2004. AUAI Press.
Details about From Fields to Trees | BibTeX data for From Fields to Trees | Download (pdf) of From Fields to Trees
-
[6]
Rao−Blackwellised Particle Filtering for Dynamic Bayesian Networks
Arnaud Doucet‚ Nando de Freitas‚ Kevin Murphy and Stuart Russell
In Uncertainty in Artificial Intelligence (UAI). Pages 176–183. San Francisco‚ CA. 2000. Morgan Kaufmann.
Details about Rao−Blackwellised Particle Filtering for Dynamic Bayesian Networks | BibTeX data for Rao−Blackwellised Particle Filtering for Dynamic Bayesian Networks | Download (pdf) of Rao−Blackwellised Particle Filtering for Dynamic Bayesian Networks