Hidden Markov Models Markov Models Hidden Markov Models

Source URL: cl.indiana.edu

• Markov models
• Probability theory
• Machine learning
• Probability
• Hidden Markov model
• Speech recognition
• Markov chain
• BaumWelch algorithm

ANALYTIC ZARISKI STRUCTURES AND NON-ELEMENTARY CATEGORICITY BORIS ZILBER Abstract. We study analytic Zariski structures from the point of view of non-elementary model theory. We show how to associate an abstract elementa

Source URL: people.maths.ox.ac.uk

• Abstract algebra
• Algebra
• Mathematics
• Algebraic geometry
• Algebraic varieties
• Model theory
• Vector bundles
• Matroid theory
• Pregeometry
• Ample line bundle
• Morphism of algebraic varieties
• Dimension theory

Several problems in applied mathematics and statistics require integrating a function f over a high-dimensional domain. For example, estimating the partition function of a graphical model for a fixed set of parameters re

Source URL: mmds-data.org

workplace with digital tablet, notebook and coffee cup

Source URL: www.depositprotection.com

• FO
• Finite model theory
• Latin alphabets
• English phonology

Logic Models, evaluation and systematic reviews Mark Petticrew Dept. of Social and Environmental Health Research London School of Hygiene & Tropical Medicine

Source URL: www.evidencebasedpublichealth.de

• Social change
• Theory of change
• Logic model
• Evaluation
• Methodology

An Agent-based Model of Crisis-Driven Migration Santa Fe Institute, New Mexico August 15, 2006 Michael Makowsky1, Jorge Tavares2 Tamas Makany3 and Patrick Meier4,5 1

Source URL: 192.12.12.16

• Complex systems theory
• Simulation
• Systems science
• Agent-based model
• Artificial life
• Systems theory
• Shock
• Academia
• Operations research

Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles

Source URL: www.stat.ucla.edu

• Statistics
• Statistical models
• Stochastic processes
• Linear filters
• Bayesian statistics
• Estimation theory
• Gibbs sampling
• Normal distribution
• Kalman filter
• Mixture model
• Bayesian network
• Gaussian process

A UNIFIED ALGORITHMIC APPROACH TO DISTRIBUTED OPTIMIZATION João F. C. Mota1,2 , João M. F. Xavier2 , Pedro M. Q. Aguiar2 , and Markus Püschel3 1 2

Source URL: users.isr.ist.utl.pt

• Routing algorithms
• Mathematics
• Combinatorial optimization
• Search algorithms
• Graph theory
• Applied mathematics
• A* search algorithm
• Game artificial intelligence
• Model predictive control
• Belief propagation
• Decomposition method

Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row

Source URL: www.cs.toronto.edu

• Statistics
• Probability
• Statistical theory
• Probability distributions
• Statistical models
• Bayesian statistics
• Stochastic processes
• Graphical models
• Bayesian network
• Gibbs sampling
• Dirichlet process
• Mixture model

Rigorous Development of Ambient Campus Applications that can Recover from Errors Budi Arief, Alexei Iliasov, and Alexander Romanovsky School of Computing Science, University of Newcastle upon Tyne, Newcastle upon Tyne NE

Source URL: rodin.cs.ncl.ac.uk

• Computing
• Systems science
• Engineering
• Multi-agent systems
• Artificial intelligence
• Complex systems theory
• Simulation
• Ambient calculus
• Process calculi
• Agent-based model
• Ambient intelligence
• Software agent