Fast Evolutionary Adaptation for Monte Carlo Tree Search Simon M. Lucas, Spyridon Samothrakis and Diego Perez University of Essex, UK Abstract This paper describes a new adaptive Monte Carlo Tree Search (MCTS) algorithm

Source URL: www.diego-perez.net

On Implementation of the Markov Chain Monte Carlo Stochastic Approximation Algorithm Yihua Jiang, Peter Karcher and Yuedong Wang Abstract The Markov Chain Monte Carlo Stochastic Approximation Algorithm (MCMCSAA) was deve

Source URL: www.pstat.ucsb.edu

Description of Known Answer Test (KAT) and Monte Carlo Test (MCT) for SHA-3 Candidate Algorithm Submissions

Source URL: csrc.nist.gov

Invited Talks 17 Stefan Heinrich FB Informatik, Geb

Source URL: mcm2001.sbg.ac.at

• Chemistry
• Physics
• Quantum mechanics
• Quantum chemistry
• Emerging technologies
• Quantum computing
• Theoretical computer science
• Computational physics
• Monte Carlo method
• Quantum dot
• Quantum algorithm
• HartreeFock method

Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha

Source URL: www.cs.jhu.edu

• Statistics
• Estimation theory
• Computational statistics
• Cluster analysis
• Gibbs sampling
• Markov chain Monte Carlo
• Expectationmaximization algorithm
• Consensus clustering
• Likelihood function
• Sampling

Network Analysis and Modeling, CSCI 5352 LectureProf. Aaron Clauset

Source URL: tuvalu.santafe.edu

• Statistics
• Statistical theory
• Monte Carlo methods
• Markov chain Monte Carlo
• Markov models
• Stochastic simulation
• Estimation theory
• MetropolisHastings algorithm
• Gibbs sampling
• Markov chain
• Maximum likelihood estimation
• Importance sampling

2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) INDEPENDENT DOUBLY ADAPTIVE REJECTION METROPOLIS SAMPLING Luca Martino? , Jesse Read† , David Luengo‡ ?

Source URL: users.ics.aalto.fi

• Statistics
• Monte Carlo methods
• Computational statistics
• Markov chain Monte Carlo
• Statistical theory
• Non-uniform random numbers
• Rejection sampling
• MetropolisHastings algorithm
• Stochastic simulation
• Gibbs sampling

Online and Offline Learning in Multi-Objective Monte Carlo Tree Search Diego Perez, Spyridon Samothrakis and Simon Lucas School of Computer Science and Electronic Engineering University of Essex, Colchester CO4 3SQ, UK d

Source URL: eldar.mathstat.uoguelph.ca

• Mathematical optimization
• Applied mathematics
• Mathematics
• Numerical analysis
• Multi-objective optimization
• Pareto efficiency
• Genetic algorithm
• Multidisciplinary design optimization
• Evolutionary algorithm
• Algorithm
• MOEA Framework
• Monte Carlo tree search

Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Marko v Chain Monte Carlo Song-Chun Zhu, Rong Zhang,

Source URL: pages.ucsd.edu

• Statistics
• Monte Carlo methods
• Probability theory
• Probability
• Markov models
• Computational statistics
• Statistical mechanics
• Markov chain Monte Carlo
• Markov chain
• MetropolisHastings algorithm
• Bayesian network
• Brownian motion

Slice sampling C. Planas, and A. Rossi Joint Research Centre of European Commission MACFINROBODS WorkshopJanuary 2015, London

Source URL: www.macfinrobods.eu

• Statistics
• Statistical theory
• Markov chain Monte Carlo
• Bayesian statistics
• Estimation theory
• Monte Carlo methods
• Computational statistics
• Slice sampling
• Gibbs sampling
• Likelihood function
• MetropolisHastings algorithm