A Bayesian Computer Vision System for Modeling Human Interactions Nuria Oliver1, Barbara Rosario1 and Alex Pentland1 1 Vision and Modeling. Media Laboratory, MIT,

Source URL: www.nuriaoliver.com

• Markov models
• Statistics
• Probability
• Statistical models
• Bayesian statistics
• Bioinformatics
• Hidden Markov model
• Markov chain
• Bayesian network
• Kalman filter
• Graphical model
• Bayesian programming

Modeling sequential data using higher-order relational features and predictive training Vincent Michalski Goethe-University Frankfurt, Frankfurt, Germany

Source URL: arxiv.org

• Applied mathematics
• Artificial neural networks
• Machine learning
• Statistics
• Probability and statistics
• Computational neuroscience
• Regression analysis
• Computational statistics
• Deep learning
• Autoregressive model
• Recurrent neural network
• Overfitting

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

Source URL: webdocs.cs.ualberta.ca

• Probability distributions
• Estimation theory
• Econometrics
• Statistical theory
• Summary statistics
• Normal distribution
• Bayesian network
• Beta distribution
• Mode
• Linear regression
• Delta method
• Gamma distribution

Ann Inst Stat Math:1–24 DOIs10463Intrinsically weighted means and non-ergodic marked point processes Alexander Malinowski · Martin Schlather ·

Source URL: www.ism.ac.jp

• Ergodic theory
• Stochastic processes
• Statistics
• Signal processing
• Analysis
• Ergodic process
• Ergodicity
• Ergodic
• Weighting
• Probability and statistics

Convergence of latent mixing measures in finite and infinite mixture models Long Nguyen Department of Statistics University of Michigan

Source URL: dept.stat.lsa.umich.edu

• Statistics
• Probability
• Estimation theory
• Stochastic processes
• Statistical models
• Probability distributions
• Cluster analysis
• Mixture model
• Dirichlet process
• Mixture distribution
• Identifiability

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

Source URL: bayesian-intelligence.com

• Statistics
• Statistical models
• Machine learning
• Probability
• Bayesian networks
• Graphical models
• Computational neuroscience
• Computational statistics
• Artificial neural network
• Mixture model

1. Given the statistics of heights in our class as true population parameterscm average and 9.59 cm standard deviation), what is the probability that someone taller than Shaq (215.9cm) walks in the room? What is

Source URL: genetics.ucsd.edu

• Summary statistics
• Knowledge
• Analysis
• Standard deviation
• Deviation
• Statistics
• Orders of magnitude

Lattice Signatures and Bimodal Gaussians L´eo Ducas∗ and Alain Durmus∗∗ and Tancr`ede Lepoint† and Vadim Lyubashevsky‡ {Leo.Ducas, Alain.Durmus, Tancrede.Lepoint, Vadim.Lyubashevsky}@ens.fr Abstract. Our main

Source URL: www.di.ens.fr

• Mathematical analysis
• Probability and statistics
• Probability theory
• Normal distribution
• Standard deviation
• Post-quantum cryptography
• Lattice-based cryptography
• Statistical mechanics

PROBABILITY AND MATHEMATICAL STATISTICS Vol. 35, Fasc), pp. 91–106 REFINED DATA DRIVEN TESTS FOR UNIVARIATE SYMMETRY

Source URL: www.math.uni.wroc.pl

Random Sampling of Alternatives for Route Choice Modeling Emma Frejinger, Transport and Mobility Laboratory, EPFL Michel Bierlaire, Transport and Mobility Laboratory, EPFL Conference paper STRC 2007

Source URL: www.strc.ch

• Probability theory
• Network theory
• Mathematics
• Statistics
• Stochastic processes
• Sampling
• Survey methodology
• Random walk
• Shortest path problem
• Importance sampling
• Simple random sample
• Probability distribution