PHYSICAL REVIEW E 93, Efficient community detection of network flows for varying Markov times and bipartite networks Masoumeh Kheirkhahzadeh,1,2 Andrea Lancichinetti,2 and Martin Rosvall2,* 1

Source URL: www.mapequation.org

• Stochastic processes
• Markov processes
• Markov models
• Probability theory
• Network theory
• Markov chain
• Modularity
• Ergodicity
• Random walk

Local Spectral Diffusion for Robust Community Detection ∗ Kun He, Pan Shi Huazhong University of

Source URL: www.mlgworkshop.org

• Algebraic graph theory
• Matrices
• Matrix theory
• Markov models
• Networks
• Graph partition
• Laplacian matrix
• PageRank
• Community structure
• Spectral clustering
• Conductance
• Random walk

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742

Source URL: psl.umiacs.umd.edu

• Operations research
• Summary statistics
• Statistical models
• Convex optimization
• Linear programming
• Normal distribution
• Probability distribution
• Central limit theorem
• Expected value
• Random walk
• Stochastic process
• Standard deviation

The Evolution of Imitation André Orléan (FebruaryContribution to The Economics of Networks: Interaction and Behaviours, P. Cohendet, P. Llerena, H. Stahn and G. Umbhauer (eds.), Springer-Verlag.

Source URL: www.parisschoolofeconomics.com

• Graph theory
• Markov chain
• Stochastic processes

Detecting Emphasised Spoken Words by Considering Them Prosodic Outliers and Taking Advantage of HMM-Based TTS Framework 梁晖 (Hui LIANG) Speech Processing Group, Computer Engineering & Networks Lab, ETH Z¨urich, Switz

Source URL: www.tik.ee.ethz.ch

• Phonology
• Phonetics
• Computational linguistics
• Prosody
• Systemic functional linguistics
• Speech recognition
• Speech synthesis
• Deep learning
• Prosodic unit
• Intonation
• Hidden Markov model
• Stress

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

Source URL: ai2-website.s3.amazonaws.com

• Markov models
• Relational model
• Machine learning
• Probability distribution
• Bayesian network
• Reinforcement learning
• Relational data mining
• Loss function

Markov Logic Networks in Health Informatics Shalini Ghosh, Natarajan Shankar, Sam Owre, Sean David∗, Gary Swan, Patrick Lincoln SRI International, Menlo Park, CA Abstract e.g., classification or regression trees, are

Source URL: www.csl.sri.com

Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty Amulya Yadav, Hau Chan1 , Albert Jiang1 , Haifeng Xu, Eric Rice, Milind Tambe University of Southern California, Los Angele

Source URL: teamcore.usc.edu

• Networks
• Graph theory
• Network theory
• Dynamic programming
• Partially observable Markov decision process
• Stochastic control
• Centrality
• Social network analysis
• Tree
• Flow network

Machine Reading Using Markov Logic Networks for Collective Probabilistic Inference Shalini Ghosh, Natarajan Shankar, Sam Owre Computer Sciences Laboratory, SRI International Abstract. DARPA’s Machine Reading project i

Source URL: www.csl.sri.com

Journal of Machine Learning Research1822 Submitted 9/07; Published 8/08 Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks

Source URL: www.jmlr.org