2016 IEEE International Conference on Software Science, Technology and Engineering Identifying Attack Propagation Patterns in Honeypots using Markov Chains Modeling and Complex Networks Analysis Ariel Bar, Bracha Shapi

Source URL: cyber.bgu.ac.il

Spatial Fluid Limits for Stochastic Mobile Networks Max Tschaikowski, Mirco Tribastone IMT School for Advanced Studies Lucca, Italy Abstract We consider Markov models of large-scale networks where nodes are characterized

Source URL: cse.lab.imtlucca.it

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: jmlr.csail.mit.edu

Root Cause Analysis through Abduction in Markov Logic Networks Joerg Schoenfisch∗ , Janno von St¨ulpnagel† , Jens Ortmann† , Christian Meilicke∗ and Heiner Stuckenschmidt∗ ∗ Research Group Data and Web Scie

Source URL: publications.wim.uni-mannheim.de

Fine Grained Weight Learning in Markov Logic Networks Vibhav Gogate Parag Singla Dept. of Comp. Sci. & Engg.

Source URL: www.cse.iitd.ac.in

Transfer in Reinforcement Learning via Markov Logic Networks Lisa Torrey, Jude Shavlik, Sriraam Natarajan, Pavan Kuppili, Trevor Walker Computer Sciences Department University of Wisconsin-Madison Abstract

Source URL: pages.cs.wisc.edu

A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy

Source URL: www.mackelab.org

• Computational neuroscience
• Statistics
• Neuroscience
• Statistical theory
• Neural networks
• Bioinformatics
• Artificial neural network
• Bayesian network
• Neural coding
• Variational Bayesian methods
• Bayesian inference
• Hidden Markov model

A Short Introduction to Probabilistic Soft Logic Angelika Kimmig1,2 , Stephen H. Bach1 , Matthias Broecheler3 , Bert Huang1 , Lise Getoor1 1 University of Maryland, 2 KU Leuven, 3 Aurelius LLC

Source URL: stephenbach.net

• Logic
• Philosophy
• Abstraction
• Bayesian statistics
• Markov networks
• Reasoning
• Model theory
• Semantics
• Probabilistic soft logic
• Markov logic network
• Probabilistic logic
• Statistical relational learning

Collective Activity Detection using Hinge-loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry Davis University of Maryland College Park, MD 20742 {blondon,sameh,bach,bert,g

Source URL: psl.umiacs.umd.edu

• Artificial intelligence
• Probability
• Statistics
• Bayesian statistics
• Markov networks
• Graphical models
• Markov random field
• Probability theory
• Image segmentation
• Probabilistic soft logic
• Activity recognition
• Support vector machine

Parameter-dependence of Markov processes on large networks R.S.MacKay Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK Updated version: 12 January 2008

Source URL: www2.warwick.ac.uk

• Mathematical analysis
• Probability theory
• Mathematics
• Markov processes
• Stochastic processes
• Graph theory
• Markov chain
• Spectral theory
• Mixing
• Ising model
• Decomposition of spectrum
• Spectral theory of ordinary differential equations