| Package | Description |
|---|---|
| weka.classifiers.bayes.net.search.global |
| Modifier and Type | Class and Description |
|---|---|
class |
GeneticSearch
This Bayes Network learning algorithm uses genetic
search for finding a well scoring Bayes network structure.
|
class |
HillClimber
This Bayes Network learning algorithm uses a hill
climbing algorithm adding, deleting and reversing arcs.
|
class |
K2
This Bayes Network learning algorithm uses a hill
climbing algorithm restricted by an order on the variables.
For more information see: G.F. |
class |
RepeatedHillClimber
This Bayes Network learning algorithm repeatedly
uses hill climbing starting with a randomly generated network structure and
return the best structure of the various runs.
|
class |
SimulatedAnnealing
This Bayes Network learning algorithm uses the
general purpose search method of simulated annealing to find a well scoring
network structure.
For more information see: R.R. |
class |
TabuSearch
This Bayes Network learning algorithm uses tabu
search for finding a well scoring Bayes network structure.
|
class |
TAN
This Bayes Network learning algorithm determines
the maximum weight spanning tree and returns a Naive Bayes network augmented
with a tree.
For more information see: N. |
Copyright © 2016 University of Waikato, Hamilton, NZ. All Rights Reserved.