bayes

This category contains 13 nodes.

LearnerAODE (3.6) 

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less […]

LearnerAODEsr (3.6) 

AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the […]

LearnerBayesianLogisticRegression (3.6) 

Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D. Lewis, David Madigan […]

LearnerBayesNet (3.6) 

Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier. Provides datastructures (network […]

LearnerComplementNaiveBayes (3.6) 

Class for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. […]

LearnerDMNBtext (3.6) 

Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,Charles X. Ling,Stan […]

LearnerHNB (3.6) 

Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC. For more information refer to: H. Zhang, L. Jiang, J. Su: […]

LearnerNaiveBayes (3.6) 

Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of the training data. For this […]

LearnerNaiveBayesMultinomial (3.6) 

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]

LearnerNaiveBayesMultinomialUpdateable (3.6) 

Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]