Semi-naive Bayesian classifier

Learning with Probabilistic Representations

Machine Learning - Special issue on learning with probabilistic representations

On the Optimality of the Simple Bayesian Classifier under Zero-One Loss

Machine Learning - Special issue on learning with probabilistic representations

Bayesian Network Classifiers

Machine Learning - Special issue on learning with probabilistic representations

Extending naïve Bayes classifiers using long itemsets

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Technical Note: Naive Bayes for Regression

Machine Learning

Data mining by attribute decomposition with semiconductor manufacturing case study

Data mining for design and manufacturing

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IEEE Expert: Intelligent Systems and Their Applications

Reliable Classifications with Machine Learning

ECML '02 Proceedings of the 13th European Conference on Machine Learning

Adaptive Bayes

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Machine Learning for Data Mining in Medicine

AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making

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Handbook of data mining and knowledge discovery

A Bayesian approach to use emerging patterns for classification

ADC '03 Proceedings of the 14th Australasian database conference - Volume 17

Floating search algorithm for structure learning of Bayesian network classifiers

Pattern Recognition Letters

A semi-naïve Bayesian method incorporating clustering with pair-wise constraints for auto image annotation

Proceedings of the 12th annual ACM international conference on Multimedia

Transductive machine learning for reliable medical diagnostics

Journal of Medical Systems - Special issue: Computer-based medical systems

Not so naive Bayes: aggregating one-dependence estimators

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Case based imprecision estimates for Bayes classifiers with the Bayesian bootstrap

Machine Learning

Classification using Hierarchical Naïve Bayes models

Machine Learning

Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS

Journal of Biomedical Informatics - Special issue: Clinical machine learning

Quality assessment of individual classifications in machine learning and data mining

Knowledge and Information Systems

Intelligent data analysis for medical diagnosis: using machine learning and temporal abstraction

AI Communications

Feature set decomposition for decision trees

Intelligent Data Analysis

Bayesian classification for the selection of in vitro human embryos using morphological and clinical data

Computer Methods and Programs in Biomedicine

Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains

Connection Science - Evolutionary Learning and Optimisation

Machine learning in prognosis of the femoral neck fracture recovery

Artificial Intelligence in Medicine

A statistical service composition approach based on hidden hierarchy Markov model

ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1

Wrapping the Naive Bayes classifier to relax the effect of dependences

IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning

A meta-heuristic approach for improving the accuracy in some classification algorithms

Computers and Operations Research

Individual attribute prior setting methods for naïve Bayesian classifiers

Pattern Recognition

Flexible learning of k-dependence Bayesian network classifiers

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Estimating continuous distributions in Bayesian classifiers

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence

Induction of selective Bayesian classifiers

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

Evolutionary bayesian classifier-based optimization in continuous domains

SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning

Incorporating confidence in a naive bayesian classifier

UM'05 Proceedings of the 10th international conference on User Modeling

Learning bayesian-neural network from mixed-mode data

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Transductive reliability estimation for medical diagnosis

Artificial Intelligence in Medicine

Machine learning for medical diagnosis: history, state of the art and perspective

Artificial Intelligence in Medicine

Domains of competence of the semi-naive Bayesian network classifiers

Information Sciences: an International Journal

Naive possibilistic classifiers for imprecise or uncertain numerical data

Fuzzy Sets and Systems

Profit optimizing customer churn prediction with Bayesian network classifiers

Intelligent Data Analysis - Business Analytics and Intelligent Optimization