Probabilistic graphical models
Selected Publications
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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
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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
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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
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