Class Summary |
DDConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a discrete domain. |
DiscreteEstimator |
Simple symbolic probability estimator based on symbol counts. |
DKConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a numeric domain. |
DNConditionalEstimator |
Conditional probability estimator for a discrete domain conditional upon
a numeric domain. |
KDConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a discrete domain (utilises separate kernel estimators for each discrete
conditioning value). |
KernelEstimator |
Simple kernel density estimator. |
KKConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a numeric domain. |
MahalanobisEstimator |
Simple probability estimator that places a single normal distribution
over the observed values. |
NDConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a discrete domain (utilises separate normal estimators for each discrete
conditioning value). |
NNConditionalEstimator |
Conditional probability estimator for a numeric domain conditional upon
a numeric domain (using Mahalanobis distance). |
NormalEstimator |
Simple probability estimator that places a single normal distribution
over the observed values. |
PoissonEstimator |
Simple probability estimator that places a single Poisson distribution
over the observed values. |
Copyright (c)
2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London