Condensation | conditional density propagation for visual tracking Michael Isard and Andrew Blake, Department of Engineering Science, University of Oxford,

Source URL: cvg.ethz.ch

• Computer vision
• Condensation algorithm
• Probability distribution
• Pi
• Monte Carlo methods
• Robot control

Hyper-heuristic General Video Game Playing Andre Mendes Julian Togelius Andy Nealen

Source URL: julian.togelius.com

• Cybernetics
• Mathematical optimization
• Operations research
• Search algorithms
• Heuristics
• Hyper-heuristic
• Algorithm Selection
• Genetic algorithm
• Algorithm
• Machine learning
• Monte Carlo tree search
• Evolutionary algorithm

Speeding Up Many-Objective Optimization by Monte Carlo Approximations Karl Bringmanna , Tobias Friedrichb,∗, Christian Igelc , Thomas Voßd a Max-Planck-Institut f¨

Source URL: people.mpi-inf.mpg.de

• Mathematical optimization
• Operations research
• Computational complexity theory
• Evolution
• Multi-objective optimization
• CMA-ES
• Approximation algorithm
• Exact algorithm
• Multiple-criteria decision analysis
• Algorithm
• Evolutionary algorithm
• Pareto efficiency

Randomized Algorithms for Solving Large Scale Nonlinear Least Squares Problems by Farbod Roosta-Khorasani

Source URL: www.stat.berkeley.edu

• Probabilistic complexity theory
• Numerical analysis
• Analysis of algorithms
• Algorithm
• Mathematical logic
• Theoretical computer science
• Monte Carlo method
• Pi
• Stochastic
• Randomized algorithm

Exploring the structure of mental representations by implementing computer algorithms with people Adam N. Sanborn University of Warwick Thomas L. Griffiths

Source URL: cocosci.berkeley.edu

• Statistics
• Monte Carlo methods
• Statistical theory
• Probability
• Markov chain Monte Carlo
• Markov models
• Computational statistics
• Probability distribution
• MetropolisHastings algorithm
• Markov chain
• Normal distribution
• Hybrid Monte Carlo

2 Master of Science in Computational Science COMPUTATIONAL SCIENCE Computational Science –

Source URL: www.mcs.usi.ch

• Academia
• Computational science
• Applied mathematics
• Mathematics
• Mathematical optimization
• Differential equation
• Numerical analysis
• Monte Carlo method
• University of Lugano
• Quantitative analyst
• Algorithm
• Sidney Fernbach Award

A Level-set Hit-and-run Sampler for Quasi-Concave Distributions Shane T. Jensen and Dean P. Foster Department of Statistics, The Wharton School, University of Pennsylvania Abstract

Source URL: www-stat.wharton.upenn.edu

• Monte Carlo methods
• Markov chain Monte Carlo
• Non-uniform random numbers
• Probability distributions
• Computational statistics
• Gibbs sampling
• Rejection sampling
• MetropolisHastings algorithm
• Slice sampling
• Bayesian network
• Quasiconvex function
• Normal distribution

General Video Game Evaluation Using Relative Algorithm Performance Profiles Thorbjørn S. Nielsen1 , Gabriella A. B. Barros1 , Julian Togelius2 , and Mark J. Nelson3 1 2

Source URL: www.kmjn.org

• Leisure
• Game theory
• Gaming
• Game artificial intelligence
• General game playing
• Game Description Language
• Monte Carlo tree search
• Video game
• Game
• Genetic algorithm
• Randomness
• Arcade game

A SCALED STOCHASTIC NEWTON ALGORITHM FOR MARKOV CHAIN MONTE CARLO SIMULATIONS TAN BUI-THANH † AND

Source URL: users.ices.utexas.edu

Empirical Evidence for Markov Chain Monte Carlo in Memory Search David D. Bourgin () Joshua T. Abbott () Thomas L. Griffiths (tom ) Department of Psyc

Source URL: cocosci.berkeley.edu

• Semantics
• Monte Carlo methods
• Markov models
• Computational statistics
• Mental processes
• Semantic memory
• MetropolisHastings algorithm
• Markov chain Monte Carlo
• Recall
• Markov chain
• Artificial neural network
• Latent semantic analysis