bayes
This category contains 13 nodes.
AODE (3.6) (legacy)
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 […]
AODEsr (3.6) (legacy)
AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification time and deletes the […]
BayesianLogisticRegression (3.6) (legacy)
Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D. Lewis, David Madigan […]
BayesNet (3.6) (legacy)
Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier. Provides datastructures (network […]
ComplementNaiveBayes (3.6) (legacy)
Class for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. […]
DMNBtext (3.6) (legacy)
Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,Charles X. Ling,Stan […]
HNB (3.6) (legacy)
Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC. For more information refer to: H. Zhang, L. Jiang, J. Su: […]
NaiveBayes (3.6) (legacy)
Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of the training data. For this […]
NaiveBayesMultinomial (3.6) (legacy)
Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]
NaiveBayesMultinomialUpdateable (3.6) (legacy)
Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for […]