Bayesian probability - PDFSEARCH.IO - Document Search Engine

Bayesian probability
Results: 1640

#	Item
191	A Bayesian Computer Vision System for Modeling Human Interactions Nuria Oliver1, Barbara Rosario1 and Alex Pentland1 1 Vision and Modeling. Media Laboratory, MIT, Add to Reading List Source URL: www.nuriaoliver.com Language: English Markov models Statistics Probability Statistical models Bayesian statistics Bioinformatics Hidden Markov model Markov chain Bayesian network Kalman filter Graphical model Bayesian programming
192	Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling Peter Hooper Yasin Abbasi-Yadkori, Russ Greiner, Bret Hoehn Dept of Mathematical & Statistical Sciences Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2009-08-28 21:02:53 Probability distributions Estimation theory Econometrics Statistical theory Summary statistics Normal distribution Bayesian network Beta distribution Mode Linear regression Delta method Gamma distribution
193	A Novel Bayesian Similarity Measure for Recommender Systems Guibing Guo, Jie Zhang, Neil Yorke-Smith 1. Motivation 2. Bayesian Similarity Measure Add to Reading List Source URL: www.luckymoon.me Language: English - Date: 2014-07-18 09:36:01 Statistics Information Bayesian statistics Statistical distance Recommender system Collaborative filtering Probability distribution Dirichlet distribution Posterior probability Similarity measure
194	Inference of functional clustering patterns from non-functional data Long Nguyen Department of Statistics University of Michigan Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-03-19 18:14:23 Statistics Statistical theory Probability Probability distributions Stochastic processes Dirichlet process Bayesian statistics Markov chain Monte Carlo Mixture distribution Statistical inference Concentration parameter Mixture model
195	Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales∗ Steven Mascaro, Kevin B. Korb and Ann E. Nicholson Clayton School of Information Technology, Monash University August 31, 2010 Add to Reading List Source URL: bayesian-intelligence.com Language: English - Date: 2011-05-17 00:55:39 Statistics Statistical models Machine learning Probability Bayesian networks Graphical models Computational neuroscience Computational statistics Artificial neural network Mixture model
196	An Empirical Evaluation of Thompson Sampling Lihong Li Yahoo! Research Santa Clara, CA Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-02-24 03:34:34 Statistics Probability distributions Statistical inference Estimation theory Machine learning Stochastic optimization Bayesian inference Sampling Normal distribution Beta distribution Multi-armed bandit Confidence interval
197	Probabilistic Reasoning for Assembly-Based 3D Modeling Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2011-09-30 17:04:00 Statistical models Machine learning Bayesian statistics Cluster analysis Mixture model Pattern recognition Graphical model Bayesian network Probabilistic logic Principal component analysis Expectationmaximization algorithm Probability distribution
198	Markov chain Monte Carlo for continuous-time discrete-state systems Vinayak A. P. Rao Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2014-08-30 13:43:20 Statistics Probability theory Probability Markov processes Stochastic processes Markov models Markov chain Monte Carlo Gibbs sampling Bayesian network Monte Carlo method Markov chain Poisson point process
199	Learning Rules from Incomplete Examples via Observation Models Janardhan Rao Doppa, Mohammad NasrEsfahani, Mohammad S. Sorower, Jed Irvine Thomas G. Dietterich, Xiaoli Fern, and Prasad Tadepalli School of EECS, Oregon St Add to Reading List Source URL: web.engr.oregonstate.edu Language: English - Date: 2012-06-13 14:51:33 Applied mathematics Probability and statistics Statistics Bayesian network Scoring rule Machine learning Confidence interval Expectationmaximization algorithm Semi-supervised learning
200	A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re Add to Reading List Source URL: www.isit2004.org Language: English - Date: 2006-08-23 14:49:05 Statistics Statistical models Probability Graphical models Machine learning Statistical theory Bayesian statistics Markov random field Bayesian network Generative model Factor graph Discriminative model

UPDATE