Dependency structure language model for topic detection and tracking
Information Processing and Management: an International Journal
Computer Methods and Programs in Biomedicine
Image and Vision Computing
Broad phonetic classification using discriminative Bayesian networks
Speech Communication
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Supervised classification using probabilistic decision graphs
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
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Computer Methods and Programs in Biomedicine
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Expert Systems with Applications: An International Journal
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Decision Support Systems
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Future Generation Computer Systems
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Expert Systems with Applications: An International Journal
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International Journal of Approximate Reasoning
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International Journal of Approximate Reasoning
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Performance Evaluation
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Neural Networks
Artificial Intelligence in Medicine
Random one-dependence estimators
Pattern Recognition Letters
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Artificial Intelligence
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Applied Soft Computing
One Dependence Value Difference Metric
Knowledge-Based Systems
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International Journal of Approximate Reasoning
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Expert Systems with Applications: An International Journal
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Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
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Artificial Intelligence in Medicine
An optimization-based approach for the design of Bayesian networks
Mathematical and Computer Modelling: An International Journal
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Mathematical and Computer Modelling: An International Journal
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MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Information-theoretic compression of pose graphs for laser-based SLAM
International Journal of Robotics Research
Reasoning and Learning in Extended Structured Bayesian Networks
Fundamenta Informaticae
A New Bayesian Tree Learning Method with Reduced Time and Space Complexity
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Context Hypothesization Using Probabilistic Knowledge
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Using artificial intelligence to predict surface roughness in deep drilling of steel components
Journal of Intelligent Manufacturing
Characteristic imsets for learning Bayesian network structure
International Journal of Approximate Reasoning
Learning human interaction by interactive phrases
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Detecting actions, poses, and objects with relational phraselets
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
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
Multiclass classification of distributed memory parallel computations
Pattern Recognition Letters
Have I seen you before? Principles of Bayesian predictive classification revisited
Statistics and Computing
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The VLDB Journal — The International Journal on Very Large Data Bases
Beyond Independence: An Extension of the A Contrario Decision Procedure
International Journal of Computer Vision
The construction of causal networks to estimate coral bleaching intensity
Environmental Modelling & Software
LTC: A latent tree approach to classification
International Journal of Approximate Reasoning
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Using clustering mechanisms for defining consumer energy services
Proceedings of the fourth international conference on Future energy systems
"Wow! you are so beautiful today!"
Proceedings of the 21st ACM international conference on Multimedia
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion
The Journal of Machine Learning Research
Parameterized complexity results for exact bayesian network structure learning
Journal of Artificial Intelligence Research
Viscosity virtual sensor to control combustion in fossil fuel power plants
Engineering Applications of Artificial Intelligence
Customized products recommendation based on probabilistic relevance model
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Information Sciences: an International Journal
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Software project risk analysis using Bayesian networks with causality constraints
Decision Support Systems
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Hybrid recommendation approaches for multi-criteria collaborative filtering
Expert Systems with Applications: An International Journal
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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A method is presented to approximate optimally ann-dimensional discrete probability distribution by a product of second-order distributions, or the distribution of the first-order tree dependence. The problem is to find an optimum set ofn - 1first order dependence relationship among thenvariables. It is shown that the procedure derived in this paper yields an approximation of a minimum difference in information. It is further shown that when this procedure is applied to empirical observations from an unknown distribution of tree dependence, the procedure is the maximum-likelihood estimate of the distribution.