Boosting a weak learning algorithm by majority
Information and Computation
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning - Special issue on learning with probabilistic representations
Lazy Learning of Bayesian Rules
Machine Learning
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Naive Bayesian Classifier Committees
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Improving Naive Bayes Using Class-Conditional ICA
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Adjusted Probability Naive Bayesian Induction
AI '98 Selected papers from the 11th Australian Joint Conference on Artificial Intelligence on Advanced Topics in Artificial Intelligence
Improving the Performance of Boosting for Naive Bayesian Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
A Method to Boost Naïve Bayesian Classifiers
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Theoretical Computer Science
Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Meta-Analysis of Face Recognition Algorithms
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Improvement of Naïve Bayes Collaborative Filtering Using Interval Estimation
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Not So Naive Bayes: Aggregating One-Dependence Estimators
Machine Learning
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
A selective Bayes Classifier for classifying incomplete data based on gain ratio
Knowledge-Based Systems
Knowledge-based system for text classification using ID6NB algorithm
Knowledge-Based Systems
Structure identification of Bayesian classifiers based on GMDH
Knowledge-Based Systems
On the classification performance of TAN and general Bayesian networks
Knowledge-Based Systems
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Bayesian classification for data from the same unknown class
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A 'non-parametric' version of the naive Bayes classifier
Knowledge-Based Systems
Improving Tree augmented Naive Bayes for class probability estimation
Knowledge-Based Systems
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A novel algorithm named NB^+ which is an extended version of the traditional Naive Bayesian algorithm has been presented in this paper. An exception occurs when there is an equal probability for the class label value in the Naive Bayesian algorithm. The approach aims to suggest a solution with the help of a partial matching method. Consequently, the classification accuracy has drastically improved. Experimental evaluation has been done on various databases to show that NB^+ algorithm outperforms the traditional Naive Bayesian algorithm.