Building expert systems
Stochastic simulation
Model selection
Current developments in expert systems
Proceedings of the Second Australian Conference on Applications of expert systems
Inductive knowledge acquisition: a case study
Proceedings of the Second Australian Conference on Applications of expert systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Unknown attribute values in induction
Proceedings of the sixth international workshop on Machine learning
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Theory refinement on Bayesian networks
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Planning and control
Decision analysis and expert systems
AI Magazine
Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
An entropy-based learning algorithm of Bayesian conditional trees
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
aHUGIN: a system creating adaptive causal probabilistic networks
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
An algorithm for deciding if a set of observed independencies has a causal explanation
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Connectionist learning of belief networks
Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
On learning in the limit and non-uniform (&egr;,&dgr;)-learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Machine Learning
Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Real-world applications of Bayesian networks
Communications of the ACM
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
On the effective implementation of the iterative proportional fitting procedure
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Finite state machines and recurrent neural networks—automata and dynamical systems approaches
Finite state machines and recurrent neural networks—automata and dynamical systems approaches
Applications of machine learning and rule induction
Communications of the ACM
Graphical models for discovering knowledge
Advances in knowledge discovery and data mining
Bayesian networks for knowledge discovery
Advances in knowledge discovery and data mining
Bayesian leaning for neural networks
Bayesian leaning for neural networks
Artificial Intelligence Frontiers in Statistics: AI and Statistics III
Artificial Intelligence Frontiers in Statistics: AI and Statistics III
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Selecting Models from Data: AI and Statistics IV
Selecting Models from Data: AI and Statistics IV
Uncertainty in Artificial Intelligence
Uncertainty in Artificial Intelligence
Sequential Model Criticism in Probabilistic Expert Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Equivalence and synthesis of causal models
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
an entropy-driven system for construction of probabilistic expert systems from databases
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Mean field theory for sigmoid belief networks
Mean field theory for sigmoid belief networks
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Three approaches to probability model selection
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Tradeoffs in constructing and evaluating temporal influence diagrams
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Sensitivity analysis for probability assessments in Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using causal information and local measures to learn Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Minimal assumption distribution propagation in belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An algorithm for the construction of Bayesian network structures from data
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A construction of Bayesian networks from databases based on an MDL principle
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Probabilistic independence networks for hidden Markov probability models
Neural Computation
Learning belief networks from data: an information theory based approach
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Machine Learning - Special issue on learning with probabilistic representations
Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Knowledge discovery in databases: tools and techniques
Crossroads - Special issue on networks and distributed systems
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and diagnosis in manufacturing processes through an executable Bayesian network
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Inferring user goals from personality and behavior in a causal model of user affect
Proceedings of the 8th international conference on Intelligent user interfaces
Data Categorization Using Decision Trellises
IEEE Transactions on Knowledge and Data Engineering
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
A Bayesian Computer Vision System for Modeling Human Interaction
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
An Interactive Framework for Open Queries in Decision Support Systems
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Incremental Learning of Tree Augmented Naive Bayes Classifiers
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
A Study of Conditional Independence Change in Learning Probabilistic Network
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Approximate Bayesian Network Classifiers
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
The Search of Causal Orderings: A Short Cut for Learning Belief Networks
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Learning Dynamic Bayesian Belief Networks Using Conditional Phase-Type Distributions
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Probabilistic and casual networks: mining for probabilistic networks
Handbook of data mining and knowledge discovery
Fuzzy functional dependencies and Bayesian networks
Journal of Computer Science and Technology
Learning with mixtures of trees
The Journal of Machine Learning Research
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Optimal structure identification with greedy search
The Journal of Machine Learning Research
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Structure Search and Stability Enhancement of Bayesian Networks
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Learning Bayesian Networks from Incomplete Data Based on EMI Method
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ACM SIGKDD Explorations Newsletter
Decomposable modeling in natural language processing
Computational Linguistics
Hybrid argumentation systems for structured news reports
The Knowledge Engineering Review
Learning probabilistic networks
The Knowledge Engineering Review
A hybrid approach for learning parameters of probabilistic networks from incomplete databases
Design and application of hybrid intelligent systems
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Construction and Methods of Learning of Bayesian Networks
Cybernetics and Systems Analysis
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Communication management using abstraction in distributed Bayesian networks
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Learning a decision maker's utility function from (possibly) inconsistent behavior
Artificial Intelligence
International Journal of Hybrid Intelligent Systems
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
Automated production of TV program trailer using electronic program guide
Proceedings of the 6th ACM international conference on Image and video retrieval
Learning and modeling biosignatures from tissue images
Computers in Biology and Medicine
Diagnosis of breast cancer using Bayesian networks: A case study
Computers in Biology and Medicine
Journal of Biomedical Informatics
A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis
Computers in Biology and Medicine
Exploiting missing clinical data in Bayesian network modeling for predicting medical problems
Journal of Biomedical Informatics
Information Sciences: an International Journal
Bayesian networks with a logistic regression model for the conditional probabilities
International Journal of Approximate Reasoning
Modelling user preferences and configuring services in B3G devices
Wireless Networks
Constructing Bayesian networks for criminal profiling from limited data
Knowledge-Based Systems
A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Environmental Modelling & Software
A machine learning methodology for the analysis of workplace accidents
International Journal of Computer Mathematics - Recent Advances in Computational and Applied Mathematics in Science and Engineering
Information Sciences: an International Journal
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters
Expert Systems with Applications: An International Journal
Qualitative Knowledge Discovery
Semantics in Data and Knowledge Bases
Learning-Function-Augmented Inferences of Causalities Implied in Health Data
Advanced Web and NetworkTechnologies, and Applications
Representing and Inferring Causalities among Classes of Multidimensional Data
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Reforestation planning using Bayesian networks
Environmental Modelling & Software
Environmental Modelling & Software
Journal of Artificial Intelligence Research
Leveraging data about users in general in the learning of individual user models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Learning a decision maker's utility function from (possibly) inconsistent behavior
Artificial Intelligence
Data mining based Bayesian networks for best classification
Computational Statistics & Data Analysis
A self-learning expert system for diagnosis in traditional Chinese medicine
Expert Systems with Applications: An International Journal
An application of Bayesian network for predicting object-oriented software maintainability
Information and Software Technology
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Assessing critical success factors for military decision support
Expert Systems with Applications: An International Journal
Qualitative probabilistic networks with reduced ambiguities
Applied Intelligence
Link-based text classification using Bayesian networks
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Dealing with complex queries in decision-support systems
Data & Knowledge Engineering
Data Mining and Knowledge Discovery
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas
Expert Systems with Applications: An International Journal
Comparison of Bayesian and fuzzy ARTmap networks in HV transmission lines fault diagnosis
MMACTEE'10 Proceedings of the 12th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
Learning Non-Stationary Dynamic Bayesian Networks
The Journal of Machine Learning Research
Graphical Methods, Inductive Causal Inference, and Econometrics: A Literature Review
Computational Economics
Bayesian networks to predict data mining algorithm behavior in ubiquitous computing environments
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Data analysis with bayesian networks: a bootstrap approach
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Robust feature selection by mutual information distributions
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Being Bayesian about network structure
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A branch-and-bound algorithm for MDL learning Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Estimating well-performing bayesian networks using Bernoulli mixtures
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Learning Bayesian nets that perform well
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Efficient approximations for the marginal likelihood of incomplete data given a Bayesian network
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Agent-Based parsimonious decision support paradigm employing bayesian belief networks
DAMAS'05 Proceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems
An improved bayesian network learning algorithm based on dependency analysis
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Knowledge acquisition for diagnosis in cellular networks based on bayesian networks
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
An ontology-based approach for constructing Bayesian networks
Data & Knowledge Engineering
Multimedia content preference using the moving average technique
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Coupling bayesian networks with GIS-Based cellular automata for modeling land use change
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Dependence tree structure estimation via copula
International Journal of Automation and Computing
The relationship between IR and multimedia databases
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Using Bayesian network on network tomography
Computer Communications
Information credibility on twitter in emergency situation
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
A PC algorithm variation for ordinal variables
Computational Statistics
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This literature review discusses different methods under the general rubric of learning Bayesian networks from data, and includes some overlapping work on more general probabilistic networks. Connections are drawn between the statistical, neural network, and uncertainty communities, and between the different methodological communities, such as Bayesian, description length, and classical statistics. Basic concepts for learning and Bayesian networks are introduced and methods are then reviewed. Methods are discussed for learning parameters of a probabilistic network, for learning the structure, and for learning hidden variables. The presentation avoids formal definitions and theorems, as these are plentiful in the literature, and instead illustrates key concepts with simplified examples.