Journal of Artificial Intelligence Research485 Submitted 1/09; published 7/09 Efficient Markov Network Structure Discovery Using Independence Tests

Source URL: www.cs.iastate.edu

• Probability and statistics
• Theoretical computer science
• Bayesian statistics
• Statistical models
• Networks
• Bayesian network
• Markov random field
• Mutual information
• Algorithm
• Statistics
• Graphical models
• Mathematics

CIGAR: Concurrent and Interleaving Goal and Activity Recognition

Source URL: www.cse.ust.hk

• Machine learning
• Estimation theory
• Theoretical computer science
• Activity recognition
• Conditional random field
• Maximum likelihood
• Hidden Markov model
• Information extraction
• Likelihood function
• Statistics
• Graphical models
• Bayesian statistics

11th International Society for Music Information Retrieval Conference (ISMIRA ROADMAP TOWARDS VERSATILE MIR Emmanuel Vincent INRIA

Source URL: ismir2010.ismir.net

• Probability and statistics
• Science
• Bayesian statistics
• Graphical models
• Theoretical computer science
• International Society for Music Information Retrieval
• Hidden Markov model
• Bayesian network
• Pattern recognition
• Statistics
• Machine learning
• Statistical models

Latent Graphical Models for Quantifying and Predicting Patent Quality Yan Liu1 , Pei-yun Hseuh2 , Rick Lawrence2 , Steve Meliksetian2 , Claudia Perlich2 , Alejandro Veen2 1 Computer Science Department, University of Sou

Source URL: www.research.ibm.com

• Law
• Prior art
• Term of patent
• Claim
• Reexamination
• United States Patent and Trademark Office
• Patent
• Patent law
• Civil law
• Property law

BayesCredit – an efficient tool for risk prediction helps Nykredit meet the Basel II requirements Starting in January 2007, the Basel II Accord is not only a requirement, but also an evolutionary program of risk improv

Source URL: download.hugin.com

• Bayesian statistics
• Graphical models
• Bioinformatics
• Bayesian network
• Networks
• Nykredit
• Mass spectrometry software
• Hugin
• Statistics
• Information
• Science
• Data

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, TKDE[removed]R2 Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks Norman E Fenton, Martin Neil and Jose Galan Caballero Abstract— Although B

Source URL: www.agenarisk.com

• Graphical models
• Probability theory
• Game artificial intelligence
• Search algorithms
• Bayesian network
• Variance
• Minimax
• Tango tree
• Statistics
• Mathematics
• Networks

ISSN[removed]The zero­patient problem with noisy observations Fabrizio Altarelli Alfredo Braunstein

Source URL: www.carloalberto.org

• Graphical models
• Bayesian statistics
• Epidemiology
• Statistical theory
• Networks
• Belief propagation
• Epidemic model
• Centrality
• Factor graph
• Graph theory
• Statistics
• Mathematics

Prediction Markets, Exponential Families and Graphical Models Jacob Abernethy*, Sindhu Kutty*, Sébastien Lahaie** and Rahul Sami^ *University of Michigan, Ann Arbor; **Microsoft Research, New York; ^Google Inc. (formerl

Source URL: web.eecs.umich.edu

• Normal distribution
• COMPASS/Sample Code
• PROPT

Specification of Graphical Representations using hypergraphs or meta-models? Merete Skjelten Tveit Faculty of Engineering and Science, University of Agder Grooseveien 36, N-4876 Grimstad, Norway [removed]

Source URL: www.nik.no

• Systems engineering
• Diagrams
• ISO standards
• Knowledge representation
• Hypergraph
• Modeling language
• Graph rewriting
• Unified Modeling Language
• Syntax
• Software engineering
• Computing
• Computer programming

PATTERN RECOGNITION AND MACHINE LEARNING CHAPTER 8: GRAPHICAL MODELS Bayesian Networks Directed Acyclic Graph (DAG)

Source URL: research.microsoft.com