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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_10) on Fri Jan 26 16:36:08 NZDT 2007 --><TITLE>weka.classifiers.bayes.net.search.local</TITLE><META NAME="keywords" CONTENT="weka.classifiers.bayes.net.search.local package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="weka.classifiers.bayes.net.search.local";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" 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Classes</B></A></NOSCRIPT></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package weka.classifiers.bayes.net.search.local</H2><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Interface Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/Scoreable.html" title="interface in weka.classifiers.bayes.net.search.local">Scoreable</A></B></TD><TD>Interface for allowing to score a classifier</TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/GeneticSearch.html" title="class in weka.classifiers.bayes.net.search.local">GeneticSearch</A></B></TD><TD>This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/HillClimber.html" title="class in weka.classifiers.bayes.net.search.local">HillClimber</A></B></TD><TD>This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/K2.html" title="class in weka.classifiers.bayes.net.search.local">K2</A></B></TD><TD>This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.<br/> <br/> For more information see:<br/> <br/> G.F.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LAGDHillClimber.html" title="class in weka.classifiers.bayes.net.search.local">LAGDHillClimber</A></B></TD><TD>This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/LocalScoreSearchAlgorithm.html" title="class in weka.classifiers.bayes.net.search.local">LocalScoreSearchAlgorithm</A></B></TD><TD>The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/RepeatedHillClimber.html" title="class in weka.classifiers.bayes.net.search.local">RepeatedHillClimber</A></B></TD><TD>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.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/SimulatedAnnealing.html" title="class in weka.classifiers.bayes.net.search.local">SimulatedAnnealing</A></B></TD><TD>This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.<br/> <br/> For more information see:<br/> <br/> R.R.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/TabuSearch.html" title="class in weka.classifiers.bayes.net.search.local">TabuSearch</A></B></TD><TD>This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../../weka/classifiers/bayes/net/search/local/TAN.html" title="class in weka.classifiers.bayes.net.search.local">TAN</A></B></TD><TD>This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.<br/> <br/> For more information see:<br/> <br/> N.</TD></TR></TABLE> <P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A 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