Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Models of incremental concept formation
Artificial Intelligence
Semi-naive Bayesian classifier
EWSL-91 Proceedings of the European working session on learning on Machine learning
Use of sequential Bayes with class probability trees
Machine intelligence 12
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods
ECML '93 Proceedings of the European Conference on Machine Learning
Induction of Recursive Bayesian Classifiers
ECML '93 Proceedings of the European Conference on Machine Learning
Multivariate Versus Univariate Decision Trees
Multivariate Versus Univariate Decision Trees
Concept formation by incremental conceptual clustering
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Average-case analysis of a nearest neighbor algorthim
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 2
Constraints on tree structure in concept formation
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
An analysis of Bayesian classifiers
AAAI'92 Proceedings of the tenth national conference on 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
A texture approach to leukocyte recognition
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
A decision tree-based attribute weighting filter for naive Bayes
Knowledge-Based Systems
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Genetic algorithm-based feature set partitioning for classification problems
Pattern Recognition
Soft computing for automated surface quality analysis of exterior car body panels
Applied Soft Computing
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Artificial Intelligence in Medicine
Bayesian network classifiers for mineral potential mapping
Computers & Geosciences
Exploring optimization of semantic relationship graph for multi-relational Bayesian classification
Decision Support Systems
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Artificial Intelligence in Medicine
Detecting Credential Abuse in the Grid Using Bayesian Networks
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
A New Approach: Role of Data Mining in Prediction of Survival of Burn Patients
Journal of Medical Systems
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
Biometric recognition using feature selection and combination
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A grouping method for categorical attributes having very large number of values
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
One dependence augmented naive bayes
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
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
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
Pattern recognition in AVHRR images by means of hibryd and neuro-fuzzy systems
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Enhancing SNNB with local accuracy estimation and ensemble techniques
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Learning tree augmented naive bayes for ranking
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Learning naive bayes for probability estimation by feature selection
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Lazy averaged one-dependence estimators
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Using attack-specific feature subsets for network intrusion detection
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
A Modified Short and Fukunaga Metric based on the attribute independence assumption
Pattern Recognition Letters
Not so greedy: Randomly Selected Naive Bayes
Expert Systems with Applications: An International Journal
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
A network intrusion detection system based on a Hidden Naïve Bayes multiclass classifier
Expert Systems with Applications: An International Journal
Automated feature weighting in naive bayes for high-dimensional data classification
Proceedings of the 21st ACM international conference on Information and knowledge management
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
An approach to improving quality of crawlers using Naïve bayes for classifier and hyperlink filter
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Engineering Applications of Artificial Intelligence
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Alleviating naive Bayes attribute independence assumption by attribute weighting
The Journal of Machine Learning Research
Learning attribute weighted AODE for ROC area ranking
International Journal of Information and Communication Technology
Naive possibilistic classifiers for imprecise or uncertain numerical data
Fuzzy Sets and Systems
Impact of noise on credit risk prediction: Does data quality really matter?
Intelligent Data Analysis
Profit optimizing customer churn prediction with Bayesian network classifiers
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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In this paper, we examine previous work on the naive Bayesian classifier and review its limitations, which include a sensitivity to correlated features. We respond to this problem by embedding the naive Bayesian induction scheme within an algorithm that carries out a greedy search through the space of features. We hypothesize that this approach will improve asymptotic accuracy in domains that involve correlated features without reducing the rate of learning in ones that do not. We report experimental results on six natural domains, including comparisons with decision-tree induction, that support these hypotheses. In closing, we discuss other approaches to extending naive Bayesian classifiers and outline some directions for future research.