Approximate inference - PDFSEARCH.IO - Document Search Engine

Approximate inference
Results: 100

#	Item
91	Package ‘pomp’ June 23, 2014 Type Package Title Statistical inference for partially observed Markov processes Version[removed]Date[removed] Add to Reading List Source URL: pomp.r-forge.r-project.org Language: English - Date: 2014-06-25 14:36:36 Interpolation Regression analysis R Approximate Bayesian computation Polynomial regression Constructor Spline JavaScript Type signature Software engineering Computing Statistics
92	A NOVEL APPROXIMATE INFERENCE APPROACH TO AUTOMATED CLASSIFICATION OF PROTEIN SUBCELLULAR LOCATION PATTERNS IN MULTI-CELL IMAGES Shann-Ching Chen1, Geoffrey J. Gordon3, and Robert F. Murphy1,2,3 Department of Biomedical Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-15 11:10:25 Graphical models Bayesian statistics Statistical models Graph operations Statistical classification Bayesian network Belief propagation Support vector machine Graph Graph theory Statistics Mathematics
93	Approximate Inference for Infinite Contingent Bayesian Networks Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and Andrey Kolobov Computer Science Division University of California Berkeley, C Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-11-29 03:40:07 Random variable Event Independence Variance Markov chain Probability distribution Parameter Mode Probability space Probability theory Statistics Probability and statistics
94	Approximate inference for first-order probabilistic languages Hanna Pasula and Stuart Russell Computer Science Division, University of California 387 Soda Hall, Berkeley, CA[removed]fpasula,[removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2008-01-03 13:57:07 Statistical models Graphical models Computational statistics Monte Carlo methods Markov chain Bayesian network Probabilistic logic Gibbs sampling Bayesian inference in phylogeny Statistics Probability and statistics Markov models
95	In: Proc[removed]Robotics: Science and Systems Conference (R:SS 2012), Sydney, Australia Jul[removed]On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference Konrad Rawlik∗ , Marc Toussaint Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-06-11 11:26:28 Markov processes Markov models Stochastic control Dynamic programming Markov decision process Optimal control Kullback–Leibler divergence Expectation–maximization algorithm Trajectory optimization Statistics Mathematical analysis Mathematical optimization
96	Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model Edward Vul, Michael C. Frank, and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Ma Add to Reading List Source URL: web.mit.edu Language: English - Date: 2010-10-21 13:51:24 Inertia Working memory Ethology Physics Science Cognitive science
97	A Program to Compute Approximate Confidence Intervals on Certain Linear Combinations of ANOVA-based Mean Squares Brandon L. Paris Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2001-01-30 11:02:20 Confidence interval Econometrics Market research Psephology Normal distribution Analysis of variance Interval Sample size determination Statistics Statistical inference Measurement
98	Approximate Bayesian Computation (ABC) in R: A Vignette K Csill´ery, O Fran¸cois, MGB Blum abc version 1.5 , [removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2013-10-29 09:33:25 Econometrics Machine learning Actuarial science Approximate Bayesian computation Logistic regression Bayesian inference Linear regression Scientific modelling Cross-validation Statistics Regression analysis Bayesian statistics
99	PDF Document Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2012-03-26 05:15:35 Networks Graphical models Statistical theory Bayesian network Enzyme kinetics Bayesian inference Gene regulatory network Bayes factor Approximate Bayesian computation Statistics Bayesian statistics Statistical models
100	PDF Document Add to Reading List Source URL: bioinformatics.oxfordjournals.org Language: English Bayes factor Approximate Bayesian computation Bayesian inference Likelihood function Bootstrapping Expectation–maximization algorithm Maximum likelihood Statistics Bayesian statistics Marginal likelihood