Theory refinement on Bayesian networks

A “Microscopic” Study of Minimum Entropy Search in Learning Decomposable Markov Networks

Machine Learning

Bayesian Network Classifiers

Machine Learning - Special issue on learning with probabilistic representations

Application of Bayesian Network Learning Methods to Waste Water Treatment Plants

Applied Intelligence

Bayesian Networks for Data Mining

Data Mining and Knowledge Discovery

Maximizing Theory Accuracy Through Selective Reinterpretation

Machine Learning

Structural Modelling with Sparse Kernels

Machine Learning

A Guide to the Literature on Learning Probabilistic Networks from Data

IEEE Transactions on Knowledge and Data Engineering

A Distributed Learning Algorithm for Bayesian Inference Networks

IEEE Transactions on Knowledge and Data Engineering

Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs

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

Optimized Algorithm for Learning Bayesian Network from Data

ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty

An Empirical Investigation of the K2 Metric

ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems

EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition

Dependency networks for inference, collaborative filtering, and data visualization

The Journal of Machine Learning Research

Learning equivalence classes of bayesian-network structures

The Journal of Machine Learning Research

On inclusion-driven learning of bayesian networks

The Journal of Machine Learning Research

A hierarchy machine: learning to optimize from nature and humans

Complexity

Learning probabilistic networks

The Knowledge Engineering Review

Exact Bayesian Structure Discovery in Bayesian Networks

The Journal of Machine Learning Research

Model Averaging for Prediction with Discrete Bayesian Networks

The Journal of Machine Learning Research

Learning class-discriminative dynamic Bayesian networks

ICML '05 Proceedings of the 22nd international conference on Machine learning

Linkage Problem, Distribution Estimation, and Bayesian Networks

Evolutionary Computation

Bayes net graphs to understand co-authorship networks?

Proceedings of the 3rd international workshop on Link discovery

Automated global structure extraction for effective local building block processing in XCS

Evolutionary Computation

Learning causal networks from data: a survey and a new algorithm for recovering possibilistic causal networks

AI Communications

On the use of Bayesian Networks to develop behaviours for mobile robots

Robotics and Autonomous Systems

Temporal uncertainty reasoning networks for evidence fusion with applications to object detection and tracking

Information Fusion

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests

The Journal of Machine Learning Research

Bayesian network learning algorithms using structural restrictions

International Journal of Approximate Reasoning

Learning and modeling biosignatures from tissue images

Computers in Biology and Medicine

Discriminative learning of Bayesian network classifiers

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

A model for parameter setting based on Bayesian networks

Engineering Applications of Artificial Intelligence

Reconfigurable computing for learning Bayesian networks

Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays

PECB: prediction of enzyme catalytic residues based on Naive Bayes classification

International Journal of Bioinformatics Research and Applications

Approximation algorithms for restricted Bayesian network structures

Information Processing Letters

Adapting Bayes network structures to non-stationary domains

International Journal of Approximate Reasoning

Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study

Expert Systems with Applications: An International Journal

Broad phonetic classification using discriminative Bayesian networks

Speech Communication

Plan recognition for interface agents

Artificial Intelligence Review

Adaptive Bayesian network classifiers

Intelligent Data Analysis

Approximation Methods for Efficient Learning of Bayesian Networks

Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks

Bayesian learning of Bayesian networks with informative priors

Annals of Mathematics and Artificial Intelligence

Towards automated performance diagnosis in a large IPTV network

Proceedings of the ACM SIGCOMM 2009 conference on Data communication

2009 Special Issue: A hybrid random field model for scalable statistical learning

Neural Networks

Performing incremental Bayesian inference by dynamic model counting

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2

On the classification performance of TAN and general Bayesian networks

Knowledge-Based Systems

Representing conditional independence using decision trees

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2

Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs

Journal of Artificial Intelligence Research

Operations for learning with graphical models

Journal of Artificial Intelligence Research

Learning Bayesian network equivalence classes with Ant Colony optimization

Journal of Artificial Intelligence Research

Active learning for structure in Bayesian networks

IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

Histogram distance-based Bayesian Network structure learning: A supervised classification specific approach

Decision Support Systems

Analyzing the probability of the optimum in EDAs based on Bayesian networks

CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation

Constructing Bayesian networks from association analysis

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence

Active learning of dynamic Bayesian networks in Markov decision processes

SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation

Using weak prior information on structures to learn Bayesian networks

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

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

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers

The Journal of Machine Learning Research

An importance sampling approach to integrate expert knowledge when learning Bayesian networks from data

IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty

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

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

Data Mining and Knowledge Discovery

Multi-objective optimization with joint probabilistic modeling of objectives and variables

EMO'11 Proceedings of the 6th international conference on Evolutionary multi-criterion optimization

Efficient Structure Learning of Bayesian Networks using Constraints

The Journal of Machine Learning Research

Scaling up the greedy equivalence search algorithm by constraining the search space of equivalence classes

ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty

Locally averaged Bayesian Dirichlet metrics

ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty

Discovering the hidden structure of complex dynamic systems

UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence

Fast learning from sparse data

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

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

Improved learning of Bayesian networks

UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence

Aggregating learned probabilistic beliefs

UAI'01 Proceedings of the Seventeenth 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

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

A Bayesian approach to learning Bayesian networks with local structure

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 equivalence classes of Bayesian network structures

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

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

Using new data to refine a Bayesian network

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

Parameter adjustment in Bayes networks. the generalized noisy OR-gate

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

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

PFORTE: revising probabilistic FOL theories

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

Constrained score+(local)search methods for learning bayesian networks

ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Probabilistic first-order theory revision from examples

ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming

Bias management of bayesian network classifiers

DS'05 Proceedings of the 8th international conference on Discovery Science

An experimental comparison of hybrid algorithms for bayesian network structure learning

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I