When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions Denver Dash Intel Corporation∗ Pittsburgh, PA

Source URL: www.bkveton.com

Inference Anchoring Theory: FoundationsKatarzyna Budzynska argdiap.pl

Source URL: ssa2014.arg.dundee.ac.uk

C ONTRIBUTED RESEARCH ARTICLE 149 BayesBD: An R Package for Bayesian Inference on Image Boundaries

Source URL: journal.r-project.org

Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials Shenlong Wang University of Toronto

Source URL: papers.nips.cc

QUASIPOLYNOMIAL NORMALISATION IN DEEP INFERENCE VIA ATOMIC FLOWS AND THRESHOLD FORMULAE PAOLA BRUSCOLI, ALESSIO GUGLIELMI, TOM GUNDERSEN, AND MICHEL PARIGOT ABSTRACT. Jeˇrábek showed that cuts in classical propositiona

Source URL: cs.bath.ac.uk

Cross-Domain Scruffy Inference Kenneth C. Arnold Henry Lieberman MIT Mind Machine Project

Source URL: alumni.media.mit.edu

Bayonet: Probabilistic Inference for Networks Timon Gehr Sasa Misailovic Petar Tsankov

Source URL: www.vanbever.eu

• Network performance
• Statistical randomness
• Probability theory
• Probability
• Probabilistic logic
• Queueing theory
• Input queue
• Robust random early detection
• Network congestion
• Probabilistic programming language

Greed is Good if Randomized: New Inference for Dependency Parsing Yuan Zhang∗, Tao Lei∗, Regina Barzilay, and Tommi Jaakkola Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technolo

Source URL: people.csail.mit.edu

Actuality Entailments* Valentine Hacquard University of Maryland The term ‘actuality entailment’ was coined by Rajesh Bhatt in his 1999 dissertation to describe the implicative inference that arises when ability moda

Source URL: ling.umd.edu

Social Learning with Coarse Inference

Source URL: www.homepages.ucl.ac.uk