An Introduction to Variational Methods for Graphical Models

References

Page 1

	Year	Citations
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm A. P. Dempster, N. M. Laird, Donald B. Rubin Journal of the Royal Statistical Society Series B (Statistical Methodology) Statistical Signal ProcessingMixture DistributionEngineeringData ScienceIncompleteness	1977	49.2K
Maximum Likelihood from Incomplete Data via the EM Algorithm Digital Access to Scholarship at Harvard (DASH) (Harvard University)	1977	4.5K
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains Leonard E. Baum, Ted Petrie, George Soules The Annals of Mathematical Statistics Mathematical ProgrammingMarkov ChainsEngineeringDiscrete ProbabilityProbabilistic System	1970	4.3K
UCI Repository of Machine Learning Databases Christopher J. Merz Medical Entomology and Zoology Data ClassificationEngineeringMachine LearningData ScienceData Mining	1996	2.3K
Elements of Information Theory Simon J. D. Phoenix Journal of Modern Optics EngineeringInformation TheoryInformation ProcessingEntropyProbability Theory	1992	1.4K
The Helmholtz Machine Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Neural Computation EngineeringMachine LearningHelmholtz MachineMachine PerceptionAdvanced Intelligent System	1995	1.2K
Factorial Hidden Markov Models Zoubin Ghahramani, Michael I. Jordan Machine Learning	1997	1.2K
The "Wake-Sleep" Algorithm for Unsupervised Neural Networks Geoffrey E. Hinton, Peter Dayan, Brendan J. Frey, Science EngineeringMachine LearningData ScienceComputational NeuroscienceNeural Recoding	1995	1.1K
Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal	2011	1.1K
A model for reasoning about persistence and causation Thomas Dean, Keiji Kanazawa Computational Intelligence Network RepresentationEngineeringModel-based ReasoningSocial SciencesCausal Inference	1989	990

Page 1