A Bayesian Method for the Induction of Probabilistic Networks from Data

Authors:
Gregory F. Cooper;Edward Herskovits
Affiliations:
Section of Medical Informatics, Department of Medicine, University of Pittsburgh, B50A Lothrop Hall, Pittsburgh, PA 15261. GFC@MED.PITT.EDU;Noetic Systems, Incorporated, 2504 Maryland Avenue, Baltimore, MD 21218. EHH@SUMEX-AIM.STANFORD.EDU
Venue:
Machine Learning
Year:
1992

Citing 0
Cited 624

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Journal of Computer and System Sciences
Spatio-temporal mining for power load forecasting in GIS-AMR load analysis model

Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Mining and visualising ordinal data with non-parametric continuous BBNs

Computational Statistics & Data Analysis
Augmenting transportation-related recommendations through data mining

International Journal of Advanced Intelligence Paradigms
Testing edges by truncations

IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Exploiting association and correlation rules parameters for learning Bayesian networks

Intelligent Data Analysis
Probabilistic Estimation of Travel Behaviors Using Zone Characteristics

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A Bayesian approach integrating regional and global features for image semantic learning

ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Affordance based word-to-meaning association

ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Scalable statistical learning: a modular Bayesian/Markov network approach

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Learning Bayesian networks to perform feature selection

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Intrusion detection based on "hybrid" propagation in Bayesian Networks

ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Improved Bayesian Network inference using relaxed gene ordering

International Journal of Data Mining and Bioinformatics
Model gene network by semi-fixed Bayesian network

Expert Systems with Applications: An International Journal
IS-G: the comparison of different learning techniques for the selection of the main subject references

INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
The impact of service level on the acceptance of application service oriented medical records

Information and Management
On the use of dynamic bayesian networks in reconstructing functional neuronal networks from spike train ensembles

Neural Computation
Query construction for user-guided knowledge discovery in databases

Information Sciences: an International Journal
Effective dimensions of partially observed polytrees

International Journal of Approximate Reasoning
Learning hybrid Bayesian networks using mixtures of truncated exponentials

International Journal of Approximate Reasoning
Learning parameters of Bayesian networks from incomplete data via importance sampling

International Journal of Approximate Reasoning
Analyzing probabilistic models in hierarchical BOA

IEEE Transactions on Evolutionary Computation - Special issue on evolutionary algorithms based on probabilistic models
Design of scalable decoders for sensor networks via Bayesian network learning

IEEE Transactions on Communications
Mutual information preconditioning improves structure learning of Bayesian networks from medical databases

IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Comparison of sensibilities of japanese and Koreans in recognizing emotions from speech by using Bayesian networks

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An experimental study on four models of customer churn prediction

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
System interdependence analysis for autonomous mobile robots

IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Building respectful interface agents

International Journal of Human-Computer Studies
Improving algorithms for structure learning in Bayesian Networks using a new implicit score

Expert Systems with Applications: An International Journal
Bayesian network modeling for evolutionary genetic structures

Computers & Mathematics with Applications
On the versatility of radial basis function neural networks: A case study in the field of intrusion detection

Information Sciences: an International Journal
Fast-flux service network detection based on spatial snapshot mechanism for delay-free detection

ASIACCS '10 Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks

The Journal of Machine Learning Research
Bayesian Network Structure Learning by Recursive Autonomy Identification

The Journal of Machine Learning Research
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation

The Journal of Machine Learning Research
Spatial operators for evolving dynamic Bayesian networks from spatio-temporal data

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Constructing Bayesian networks from association analysis

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Enhancing caching in distributed databases using intelligent polytree representations

AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Modelling multiple-classifier relationships using Bayesian belief networks

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Building a GA from design principles for learning Bayesian networks

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Targeting differentially co-regulated genes by multiobjective and multimodal optimization

EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Evaluating query-independent object features for relevancy prediction

ECIR'07 Proceedings of the 29th European conference on IR research
Learning Bayesian networks with combination of MRMR criterion and EMI method

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Chance discovery in credit risk management: estimation of chain reaction bankruptcy structure by directed keygraph

IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Selecting features by learning Markov blankets

KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
MICHO: a scalable constraint-based algorithm for learning Bayesian networks

Proceedings of the 2010 ACM Symposium on Applied Computing
Algorithm for graphical Bayesian modeling based on multiple regressions

MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Texture classification of aerial image based on Bayesian networks with hidden nodes

ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Different Bayesian network models in the classification of remote sensing images

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Efficient learning of Bayesian network classifiers: an extension to the TAN classifier

AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Fast online estimation of the joint probability distribution

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Chance discovery in credit risk management: time order method and directed KeyGraph for estimation of chain reaction bankruptcy structure

JSAI'07 Proceedings of the 2007 conference on New frontiers in artificial intelligence
Incorporating literature knowledge in Bayesian network for inferring gene networks with gene expression data

ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
Integrative viral molecular epidemiology: hepatitis C virus modeling

ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
CrimeLink explorer: using domain knowledge to facilitate automated crime association analysis

ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
An improved greedy search algorithm of Bayesian network structures for facial action units recognition

ICNC'09 Proceedings of the 5th international conference on Natural computation
Learning locally minimax optimal Bayesian networks

International Journal of Approximate Reasoning
Learning Bayesian network structure from incomplete data without any assumption

DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Differential Evolution for learning the classification method PROAFTN

Knowledge-Based Systems
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks

Information Sciences: an International Journal
ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs

Proceedings of the 24th ACM International Conference on Supercomputing
BANBAD - A Centralized belief-networks-based anomaly detection algorithm for MANETs

GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Focusing solutions for data mining: analytical studies and experimental results in real-world domains

Focusing solutions for data mining: analytical studies and experimental results in real-world domains
A contextual data mining approach toward assisting the treatment of anxiety disorders

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Effective structure learning for EDA via L1-regularizedbayesian networks

Proceedings of the 12th annual conference on Genetic and evolutionary computation
Learning Bayesian networks from survival data using weighting censored instances

Journal of Biomedical Informatics
Research Note---Toward a Causal Interpretation from Observational Data: A New Bayesian Networks Method for Structural Models with Latent Variables

Information Systems Research
Probabilistic and analytical estimation of software development team size

International Journal of Hybrid Intelligent Systems
Learning patient-specific predictive models from clinical data

Journal of Biomedical Informatics
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

The Journal of Machine Learning Research
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data

Expert Systems with Applications: An International Journal
Causal pattern recovery from neural spike train data using the Snap Shot Score

Journal of Computational Neuroscience
Bayesian recognition of motion related activities with inertial sensors

Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
Context-aware end-to-end QoS qualitative diagnosis and quantitative guarantee based on Bayesian network

Computer Communications
Learning Bayesian networks from incomplete data

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Cloud-computing-based framework for multi-camera topology inference in smart city sensing system

Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Original paper: Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data

Computers and Electronics in Agriculture
Integrated importance measures of multi-state systems under uncertainty

Computers and Industrial Engineering
Parameter learning in Bayesian network using semantic constraints of conversational feedback

PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Noisy-or nodes for conditioning models

SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Comparative analysis of search and score metaheuristics for Bayesian network structure learning using node juxtaposition distributions

PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Globally optimal structure learning of Bayesian networks from data

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Bayesian belief network learning algorithms for modeling contextual relationships in natural imagery: a comparative study

Artificial Intelligence Review
What is happening now? Detection of activities of daily living from simple visual features

Personal and Ubiquitous Computing
Learning a restricted Bayesian network for object detection

CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
BASSUM: A Bayesian semi-supervised method for classification feature selection

Pattern Recognition
Hierarchical multiple sensor fusion using structurally learned Bayesian network

WH '10 Wireless Health 2010
An Efficient Algorithm for Learning Bayesian Networks from Data

Fundamenta Informaticae - From Mathematical Beauty to the Truth of Nature: to Jerzy Tiuryn on his 60th Birthday
Dealing with complex queries in decision-support systems

Data & Knowledge Engineering
Probabilistic graphical models in artificial intelligence

Applied Soft Computing
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood

Data Mining and Knowledge Discovery
Learning the behavior model of a robot

Autonomous Robots
Apply Influence Diagrams for Utility Analysis of Paying the Weight-Reducing Expenses: A Case Study in Taiwan

Journal of Medical Systems
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas

Expert Systems with Applications: An International Journal
Critiquing knowledge representation in medical image interpretation using structure learning

KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
On-line viscosity virtual sensor for optimizing the combustion in power plants

IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Learning Instance-Specific Predictive Models

The Journal of Machine Learning Research
Learning bayesian network classifiers for facial expression recognition using both labeled and unlabeled data

CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Feature fatigue analysis in product development using Bayesian networks

Expert Systems with Applications: An International Journal
A Bayesian network modeling approach for cross media analysis

Image Communication
A hybrid method for learning Bayesian networks based on ant colony optimization

Applied Soft Computing
Task scheduling using Bayesian optimization algorithm for heterogeneous computing environments

Applied Soft Computing
Bayesian network classifiers. an application to remote sensing image classification

NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Multi-dimensional classification with Bayesian networks

International Journal of Approximate Reasoning
Semantic context inference in multimedia search

The future internet
A bayesian network based approach for software defects prediction

ACM SIGSOFT Software Engineering Notes
A model for estimating the impact of low productivity on the schedule of a software development project

ACM SIGSOFT Software Engineering Notes
Bayesian theorem approach in task-achieving behavior for robotic system in heterogeneous dynamic environment

ECC'11 Proceedings of the 5th European conference on European computing conference
Query relaxation for star queries on RDF

WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Modeling and estimation of travel behaviors using bayesian network

Intelligent Decision Technologies - Special issue on design of intelligent environment
A cooperative coevolutionary genetic algorithm for learning bayesian network structures

Proceedings of the 13th annual conference on Genetic and evolutionary computation
Privacy-preserving approach to bayesian network structure learning from distributed data

Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Inferring cell cycle feedback regulation from gene expression data

Journal of Biomedical Informatics
Efficient Structure Learning of Bayesian Networks using Constraints

The Journal of Machine Learning Research
Sparse Linear Identifiable Multivariate Modeling

The Journal of Machine Learning Research
A partial correlation-based Bayesian network structure learning algorithm under SEM

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Class confidence weighted kNN algorithms for imbalanced data sets

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Learning temporal Bayesian networks for power plant diagnosis

IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Locally averaged Bayesian Dirichlet metrics

ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Mixture of Markov trees for Bayesian network structure learning with small datasets in high dimensional space

ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Mining competitor relationships from online news: A network-based approach

Electronic Commerce Research and Applications
Emotional states in judicial courtrooms: An experimental investigation

Speech Communication
Ancestor relations in the presence of unobserved variables

ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
An evolutionary framework using particle swarm optimization for classification method PROAFTN

Applied Soft Computing
Fashion crimes: trending-term exploitation on the web

Proceedings of the 18th ACM conference on Computer and communications security
Incorporating expert knowledge when learning Bayesian network structure: A medical case study

Artificial Intelligence in Medicine
Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals

Scientometrics
Estimating selectivity for joined RDF triple patterns

Proceedings of the 20th ACM international conference on Information and knowledge management
Review: Bayesian networks in environmental modelling

Environmental Modelling & Software
Inferring parameters and structure of latent variable models by variational bayes

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Comparing Bayesian network classifiers

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Causal discovery from a mixture of experimental and observational data

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A hybrid anytime algorithm for the construction of causal models from sparse data

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Parameter priors for directed acyclic graphical models and the characterization of several probability distributions

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
On supervised selection of Bayesian networks

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete data with stochastic search algorithms

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks with restricted causal interactions

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A bayesian network scoring metric that is based on globally uniform parameter priors

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Dimension correction for hierarchical latent class models

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Asymptotic model selection for naive Bayesian networks

UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A Bayesian method for causal modeling and discovery under selection

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Mix-nets: factored mixtures of Gaussians in Bayesian networks with mixed continuous and discrete variables

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
Gaussian process networks

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
On the use of skeletons when learning in 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
Conditions under which conditional independence and scoring methods lead to identical selection of Bayesian network models

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Enumerating Markov equivalence classes of acyclic digraph dels

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A bayesian approach to tackling hard computational problems

UAI'01 Proceedings of the Seventeenth 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
Improved learning of Bayesian networks

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Causal discovery from changes

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Bayesian error-bars for belief net inference

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
On the semi-Markov equivalence of causal models

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Graphical models and exponential families

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Minimum encoding approaches for predictive modeling

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A multivariate discretization method for learning Bayesian networks from mixed data

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Decision theoretic foundations of graphical model selection

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning mixtures of DAG models

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Fraud/uncollectible debt detection using a Bayesian network based learning system: a rare binary outcome with mixed data structures

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A characterization of the dirichlet distribution with application to learning Bayesian networks

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Learning Bayesian networks: a unification for discrete and Gaussian domains

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning causal networks

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Estimating continuous distributions in Bayesian classifiers

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Strong completeness and faithfulness in Bayesian networks

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning Bayesian networks with local structure

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Exploring parallelism in learning belief networks

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Sequential update of Bayesian network structure

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian nets that perform well

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning belief networks in domains with recursively embedded pseudo independent submodels

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Structure and parameter learning for causal independence and causal interaction models

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases

UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A structurally and temporally extended Bayesian belief network model: definitions, properties, and modeling techniques

UAI'96 Proceedings of the Twelfth international 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
Learning Bayesian networks with local structure

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Asymptotic model selection for directed networks with hidden variables*

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Bayesian learning of loglinear models for neural connectivity

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Critical remarks on single link search in learning belief networks

UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An evaluation of an algorithm for inductive learning of Bayesian belief networks using simulated data sets

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A Bayesian method reexamined

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Properties of Bayesian belief network learning algorithms

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Learning Gaussian networks

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Learning Bayesian networks: the combination of knowledge and statistical data

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Induction of selective Bayesian classifiers

UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Forecasting sleep apnea with dynamic network models

UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Additive belief-network models

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
iMMPC: a local search approach for incremental Bayesian network structure learning

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Evolutionary attribute ordering in Bayesian networks for predicting the metabolic syndrome

Expert Systems with Applications: An International Journal
Dynamic categorization of clinical research eligibility criteria by hierarchical clustering

Journal of Biomedical Informatics
Methodological Review: A review of causal inference for biomedical informatics

Journal of Biomedical Informatics
An Asymptotic Behaviour of the Marginal Likelihood for General Markov Models

The Journal of Machine Learning Research
An algorithm for cooperative learning of bayesian network structure from data

CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
Solving hybrid markov decision processes

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
How good are the bayesian information criterion and the minimum description length principle for model selection? a bayesian network analysis

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Automatic recognition of landforms on mars using terrain segmentation and classification

DS'06 Proceedings of the 9th international conference on Discovery Science
Bayesian network structure learning by recursive autonomy identification

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Bayesian student models based on item to item knowledge structures

EC-TEL'06 Proceedings of the First European conference on Technology Enhanced Learning: innovative Approaches for Learning and Knowledge Sharing
Context-Based scene recognition using bayesian networks with scale-invariant feature transform

ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Dynamic user modeling in health promotion dialogs

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Bayesian feature construction

SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Robust independence testing for constraint-based learning of causal structure

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
On local optima in learning bayesian networks

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Automated analytic asymptotic evaluation of the marginal likelihood for latent models

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning module networks

UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Efficient learning bayesian networks using PSO

CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Parent assignment is hard for the MDL, AIC, and NML costs

COLT'06 Proceedings of the 19th annual conference on Learning Theory
Learning Bayesian network classifiers by risk minimization

International Journal of Approximate Reasoning
Short Communication: Integration of General Bayesian Network and ubiquitous decision support to provide context prediction capability

Expert Systems with Applications: An International Journal
Context-prediction performance by a dynamic Bayesian network: Emphasis on location prediction in ubiquitous decision support environment

Expert Systems with Applications: An International Journal
Selecting a feature set to summarize texts in brazilian portuguese

IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
A new genetic approach to structure learning of bayesian networks

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
GSGS: A Computational Approach to Reconstruct Signaling Pathway Structures from Gene Sets

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Learning bayesian networks structure with continuous variables

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A new polynomial time algorithm for bayesian network structure learning

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A bayesian approach to emotion detection in dialogist’s voice for human robot interaction

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A hybrid evolutionary algorithm for bayesian networks learning: an application to classifier combination

EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Dependency bagging

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A comparative evaluation of rough sets and probabilistic network algorithms on learning pseudo-independent domains

RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Bayesian network learning with abstraction hierarchies and context-specific independence

ECML'05 Proceedings of the 16th European conference on Machine Learning
An efficient attribute ordering optimization in bayesian networks for prognostic modeling of the metabolic syndrome

ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
Learning bayesian networks does not have to be NP-Hard

MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Bayesian automatic programming

EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
Knowledge-Based operations for graphical models in planning

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the use of restrictions for learning bayesian networks

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Foundation for the new algorithm learning pseudo-independent models

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Methods to determine the branching attribute in bayesian multinets classifiers

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Review: learning bayesian networks: Approaches and issues

The Knowledge Engineering Review
Bayesian networks learning for gene expression datasets

IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Automatic parameter settings for the PROAFTN classifier using hybrid particle swarm optimization

AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Combining bayesian networks, k nearest neighbours algorithm and attribute selection for gene expression data analysis

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Stock price forecast using Bayesian network

Expert Systems with Applications: An International Journal
The Bayesian method for causal discovery of latent-variable models from a mixture of experimental and observational data

Computational Statistics & Data Analysis
Issues and requirements for bayesian approaches in context aware systems

LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Using previous models to bias structural learning in the hierarchical boa

Evolutionary Computation
A fast calculation of metric scores for learning Bayesian network

International Journal of Automation and Computing
Automated quality control for mobile data collection

Proceedings of the 2nd ACM Symposium on Computing for Development
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
Distributed data mining protocols for privacy: a review of some recent results

MADNES'05 Proceedings of the First international conference on Secure Mobile Ad-hoc Networks and Sensors
Graphical models for text-independent speaker verification

Nonlinear Speech Modeling and Applications
Machine learning for improved pathological staging of prostate cancer: A performance comparison on a range of classifiers

Artificial Intelligence in Medicine
Learning hybrid bayesian networks by MML

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Causal discovery with prior information

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Customer online shopping behaviours analysis using bayesian networks

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Fusion of domain knowledge for dynamic learning in transcriptional networks

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Decision making association rules for recognition of differential gene expression profiles

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Strategies for planning large capillarity broadband networks based on ADSL2+ technology: a case of study for qos-aware triple play services

FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
Evaluating probabilistic models learned from data

MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Monitoring and improving Greek banking services using Bayesian Networks: An analysis of mystery shopping data

Expert Systems with Applications: An International Journal
An eye-hand data fusion framework for pervasive sensing of surgical activities

Pattern Recognition
Susceptibility assessment of earthquake-induced landslides using Bayesian network: A case study in Beichuan, China

Computers & Geosciences
Modeling sequences of user actions for statistical goal recognition

User Modeling and User-Adapted Interaction
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers

Neurocomputing
An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways

Artificial Intelligence in Medicine
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection

Artificial Intelligence in Medicine
Bayesian learning for cardiac SPECT image interpretation

Artificial Intelligence in Medicine
A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service

Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care

Artificial Intelligence in Medicine
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors

Artificial Intelligence in Medicine
Book review: Knowledge Engineering and Management: The CommonKADS Methodology

Artificial Intelligence in Medicine
A Bayesian network based approach for software reusability prediction

ACM SIGSOFT Software Engineering Notes
An optimization-based approach for the design of Bayesian networks

Mathematical and Computer Modelling: An International Journal
Biclustering-driven ensemble of Bayesian belief network classifiers for underdetermined problems

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Learning optimal Bayesian networks using A* search

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Bayesian chain classifiers for multidimensional classification

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Bayesian Belief Network-based approach for diagnostics and prognostics of semiconductor manufacturing systems

Robotics and Computer-Integrated Manufacturing
The challenge of complexity for cognitive systems

Cognitive Systems Research
Medical informatics: reasoning methods

Artificial Intelligence in Medicine
Ontology-based user profile learning

Applied Intelligence
Application of Bayesian Classifier for the Diagnosis of Dental Pain

Journal of Medical Systems
Distance-based bias in model-directed optimization of additively decomposable problems

Proceedings of the 14th annual conference on Genetic and evolutionary computation
A Bayesian imputation method for a clustering genetic algorithm

Journal of Computational Methods in Sciences and Engineering
Information credibility on twitter in emergency situation

PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Incorporating shape into spatially-aware adaptive object segmentation algorithm

Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory

Fundamenta Informaticae
A new learning structure heuristic of bayesian networks from data

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Learning bayesian networks from Markov random fields: An efficient algorithm for linear models

ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning from socio-economic characteristics of IP geo-locations for cybercrime prediction

International Journal of Business Intelligence and Data Mining
Belief networks in classification of laryngopathies based on speech spectrum analysis

RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Classification of Unseen Examples under Uncertainty

Fundamenta Informaticae
Fraud detection in web transactions

Proceedings of the 18th Brazilian symposium on Multimedia and the web
A review on probabilistic graphical models in evolutionary computation

Journal of Heuristics
A Bayesian network for burr detection in the drilling process

Journal of Intelligent Manufacturing
Casting implicit role linking as an anaphora resolution task

SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Parallel Bayesian network structure learning with application to gene networks

SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
ABC-miner: an ant-based bayesian classification algorithm

ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Stochastic techniques in influence diagrams for learning bayesian network structure

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Transfer learning, soft distance-based bias, and the hierarchical BOA

PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Competing mutating agents for bayesian network structure learning

PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Pruning GP-Based classifier ensembles by bayesian networks

PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
A multi-parent search operator for bayesian network building

PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Bayesian and behavior networks for context-adaptive user interface in a ubiquitous home environment

Expert Systems with Applications: An International Journal
Effects of data set features on the performances of classification algorithms

Expert Systems with Applications: An International Journal
New skeleton-based approaches for Bayesian structure learning of Bayesian networks

Applied Soft Computing
Score-based methods for learning Markov boundaries by searching in constrained spaces

Data Mining and Knowledge Discovery
The problem of finding the sparsest bayesian network for an input data set is NP-Hard

ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Application traffic classification at the early stage by characterizing application rounds

Information Sciences: an International Journal
A review on evolutionary algorithms in Bayesian network learning and inference tasks

Information Sciences: an International Journal
Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks

International Journal of Approximate Reasoning
A memetic approach to bayesian network structure learning

EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Multifeature analysis and semantic context learning for image classification

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Learning bayesian network using parse trees for extraction of protein-protein interaction

CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Decision support analysis for safety control in complex project environments based on Bayesian Networks

Expert Systems with Applications: An International Journal
Mobile context inference using two-layered Bayesian networks for smartphones

Expert Systems with Applications: An International Journal
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks

Artificial Intelligence in Medicine
Parallel Abductive Query Answering in Probabilistic Logic Programs

ACM Transactions on Computational Logic (TOCL)
Towards a method for automatically evolving bayesian network classifiers

Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
A hybrid approach for extracting informative content from web pages

Information Processing and Management: an International Journal
Parallel globally optimal structure learning of Bayesian networks

Journal of Parallel and Distributed Computing
Finding optimal Bayesian networks using precedence constraints

The Journal of Machine Learning Research
Bayesian mixed-effects inference on classification performance in hierarchical data sets

The Journal of Machine Learning Research
Policy making for broadband adoption and usage in Chile through machine learning

Expert Systems with Applications: An International Journal
Computational Reconstruction of Transcriptional Relationships from ChIP-Chip Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Imputation for categorical attributes with probabilistic reasoning

WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Viscosity virtual sensor to control combustion in fossil fuel power plants

Engineering Applications of Artificial Intelligence
Causal inference with rare events in large-scale time-series data

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Adaptive thresholding in structure learning of a Bayesian network

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Annealed importance sampling for structure learning in Bayesian networks

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Bayesian probabilities for constraint-based causal discovery

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A security risk analysis model for information systems: Causal relationships of risk factors and vulnerability propagation analysis

Information Sciences: an International Journal
Software defect prediction using Bayesian networks

Empirical Software Engineering
A PC algorithm variation for ordinal variables

Computational Statistics
An efficient node ordering method using the conditional frequency for the K2 algorithm

Pattern Recognition Letters
Learning optimal bayesian networks: a shortest path perspective

Journal of Artificial Intelligence Research
Evaluating the performance of a Bayesian Artificial Immune System for designing fuzzy rule bases

International Journal of Hybrid Intelligent Systems
Determining dependence relations using a new score based on imprecise probabilities

Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers

Intelligent Data Analysis - Business Analytics and Intelligent Optimization

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Abstract

This paper presents a Bayesian method for constructing probabilistic networks from databases. In particular, we focus on constructing Bayesian belief networks. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. We extend the basic method to handle missing data and hidden (latent) variables. We show how to perform probabilistic inference by averaging over the inferences of multiple belief networks. Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases. Finally, we relate the methods in this paper to previous work, and we discuss open problems.