On the Combinatorial Multi-Armed Bandit Problem with Markovian Rewards Yi Gai∗ , Bhaskar Krishnamachari∗ and Mingyan Liu‡ ∗ ‡

Source URL: www-scf.usc.edu

Ingo Scholtes: Working Paper: Force-Directed Layout of Non-Markovian Temporal Networks Working Paper: Force-Directed Layout of NonMarkovian Temporal Networks Ingo Scholtes

Source URL: www.sg.ethz.ch

Ingo Scholtes, Nicolas Wider, René Pfitzner, Antonios Garas, Claudio Juan Tessone and Frank Schweitzer: Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks Slow-Down vs. Speed-Up of Inform

Source URL: www.sg.ethz.ch

Introduction Markovian Foundations Applications

Source URL: homepages.inf.ed.ac.uk

• Markov processes
• Process calculi
• Markov models
• PEPA
• Markov chain
• Jane Hillston
• Markovian
• Process calculus
• Theoretical computer science
• Mathematics
• Discrete mathematics
• TAPAs model checker

Sparse Learning of Markovian Population Models in Random Environments Christoph Zechner1 , Federico Wadehn1 , and Heinz Koeppl1,2,3 1 arXiv:1401.4026v1 [q-bio.QM] 16 Jan 2014

Source URL: arxiv.org

• Probability distributions
• Infinitely divisible probability distributions
• Statistical theory
• Exponentials
• Markov models
• Variational Bayesian methods
• Gamma distribution
• Bayesian network
• KullbackLeibler divergence
• Bayesian inference
• Expectationmaximization algorithm
• Markov chain

Brazilian Journal of Physics, vol. 28, no. 3, September, On the Markovian Limit in a Kinetic Theory for Dissipative Systems

Source URL: www.sbfisica.org.br

Multigrid Algorithm from Cyclic Reduction for Markovian Queueing Networks

Source URL: www.cis.umac.mo

European Journal of Operational Research–650 www.elsevier.com/locate/dsw Production, Manufacturing and Logistics A Markovian approach to determining optimum process

Source URL: ws2.binghamton.edu

A Bayesian Perspective on Markovian Dynamics and the Fluctuation Theorem Nathaniel Virgo Max Planck Institute for Biogeochemistry, Jena, Germany; now at University of Tokyo, Japan Abstract. One of E. T. Jaynes’ most im

Source URL: nathanielvirgo.com

A Markovian approach to distributional semantics with application to semantic compositionality ´ Edouard Grave EECS Department

Source URL: www.di.ens.fr