UAI 2014 - Subject Areas
When an author submits a paper, they will be asked to select one primary subject area, and up to 5 secondary subject areas from the sets of terms below. The terms have been grouped to provide a somewhat systematic overview of topics relevant to the UAI conference. For example, a paper about a new approximate inference algorithm for dynamic Bayesian network with applications to a problem in biology could select the combination primary = dynamic Bayesian network, secondary = [application/biology, algorithms/approximate inference] and so on.
For reference, below is the list of subject areas that will appear to authors and reviewers in the CMT conference management system:
Algorithms
- Approximate Inference
 - Belief Propagation
 - Distributed and Parallel
 - Exact Inference
 - Graph Theory
 - Heuristics
 - MCMC methods
 - Optimization
 - Other
 - Software and Tools
 
Application
- Biology
 - Databases
 - Decision Support
 - Diagnosis and Reliability
 - Economics
 - Education
 - General
 - Medicine
 - Planning and Control
 - Privacy and Security
 - Robotics
 - Sensor Data
 - Social Network Analysis
 - Speech
 - Sustainability and Climate
 - Text and Web Data
 - User Models
 - Vision
 
Data
- Big Data
 - Multivariate
 - Other
 - Relational
 - Spatial
 - Temporal or Sequential
 
Learning
- Active Learning
 - Classification
 - Clustering
 - Deep Learning
 - General
 - Nonparametric Bayes
 - Online and Anytime Learning
 - Other
 - Parameter Estimation
 - Probabilistic Generative Models
 - Ranking
 - Recommender Systems
 - Regression
 - Reinforcement Learning
 - Relational Learning
 - Scalability
 - Semi-Supervised Learning
 - Structure Learning
 - Structured Prediction
 - Theory
 - Unsupervised
 
Methodology
- Bayesian Methods
 - Calibration
 - Elicitation
 - Evaluation
 - Human Expertise and Judgement
 - Other
 - Probabilistic Programming
 
Models
- Bayesian Networks
 - Directed Graphical Models
 - Dynamic Bayesian Networks
 - Markov Decision Processes
 - Mixed Graphical Models
 - Other
 - Topic Models
 - Undirected Graphical Models
 
Principles
- Causality
 - Cognitive Models
 - Decision Theory
 - Game Theory
 - Information Theory
 - Other
 - Probability Theory
 - Statistical Theory
 
Representation
- Constraints
 - Dempster-Shafer
 - Fuzzy Logic
 - Influence Diagrams
 - Non-Probabilistic Frameworks
 - Probabilistic
 





