On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Technical Note: Naive Bayes for Regression
Machine Learning
Lazy Learning of Bayesian Rules
Machine Learning
Machine Learning
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
What makes a compelling empirical evaluation?
IEEE Expert: Intelligent Systems and Their Applications
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Candidate Elimination Criteria for Lazy Bayesian Rules
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
DS '99 Proceedings of the Second International Conference on Discovery Science
Theoretical Computer Science
Not so naive Bayes: aggregating one-dependence estimators
Machine Learning
Classification using Hierarchical Naïve Bayes models
Machine Learning
Efficient lazy elimination for averaged one-dependence estimators
ICML '06 Proceedings of the 23rd international conference on Machine learning
A comprehensive review of recursive Naïve Bayes Classifiers
Intelligent Data Analysis
A global optimal algorithm for class-dependent discretization of continuous data
Intelligent Data Analysis
Intelligent Data Analysis
IEEE Transactions on Knowledge and Data Engineering
Appraisal of companies with Bayesian networks
International Journal of Business Intelligence and Data Mining
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
ECML '07 Proceedings of the 18th European conference on Machine Learning
Anytime learning and classification for online applications
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
Generation of globally relevant continuous features for classification
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Induction of selective Bayesian classifiers
UAI'94 Proceedings of the Tenth 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
RNBL-MN: a recursive naive bayes learner for sequence classification
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Multi criteria wrapper improvements to naive bayes learning
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Machine learning for medical diagnosis: history, state of the art and perspective
Artificial Intelligence in Medicine
Classification of Unseen Examples under Uncertainty
Fundamenta Informaticae
Hi-index | 0.00 |