SPARTAN: a model-based semantic compression system for massive data tables
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Scalable data mining with model constraints
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Constructing Efficient Belief Network Structures With Expert Provided Information
IEEE Transactions on Knowledge and Data Engineering
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Structural and Probabilistic Knowledge for Abductive Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Approximate Nonmyopic Computation for Value of Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Improved Approach for the Discovery of Causal Models via MML
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Optimized Algorithm for Learning Bayesian Network from Data
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Decision Making and Uncertainty Management in a 3D Reconstruction System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Tractable learning of large Bayes net structures from sparse data
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Information Processing and Management: an International Journal
Bayes net graphs to understand co-authorship networks?
Proceedings of the 3rd international workshop on Link discovery
On-line alert systems for production plants: A conflict based approach
International Journal of Approximate Reasoning
Journal of Biomedical Informatics
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Bayesian Network Structure Ensemble Learning
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Expert Systems with Applications: An International Journal
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
A study of causal discovery with weak links and small samples
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Using a local discovery ant algorithm for Bayesian network structure learning
IEEE Transactions on Evolutionary Computation
Criteria to evaluate approximate belief network representations in expert systems
Decision Support Systems
Information Processing and Management: an International Journal
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Bayesian network modeling for evolutionary genetic structures
Computers & Mathematics with Applications
An improved greedy Bayesian network learning algorithm on limited data
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A novel ordering-based Greedy Bayesian network learning algorithm on limited data
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Association rule mining: models and algorithms
Association rule mining: models and algorithms
An analysis of Bayesian classifiers
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Automatic morphological categorisation of carbon black nano-aggregates
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
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
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Expert Systems with Applications: An International Journal
Fast learning from sparse data
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
Causal mechanism-based model constructions
UAI'00 Proceedings of the Sixteenth 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
UAI'94 Proceedings of the Tenth 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
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
To select or to weigh: a comparative study of model selection and model weighing for SPODE ensembles
ECML'06 Proceedings of the 17th European conference on Machine Learning
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
Alert systems for production plants: a methodology based on conflict analysis
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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