org.wiigee.logic
Class XHMM

java.lang.Object
  org.wiigee.logic.HMM
      org.wiigee.logic.XHMM

public class XHMM
extends HMM

Field Summary

Fields inherited from class org.wiigee.logic.HMM

a, b, numObservations, numStates, pi

Constructor Summary

XHMM(int numStates, int numObservations)

Method Summary

void	train(java.util.Vector<int[]> trainsequence) Trains the Hidden Markov Model with multiple sequences.

Methods inherited from class org.wiigee.logic.HMM

backwardProc, forwardProc, getA, getB, getPi, getProbability, print, setA, setB, setPi

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

XHMM

public XHMM(int numStates,
            int numObservations)

Method Detail

train

public void train(java.util.Vector<int[]> trainsequence)

Description copied from class: HMM

Trains the Hidden Markov Model with multiple sequences. This method is normally not known to basic hidden markov models, because they usually use the Baum-Welch-Algorithm. This method is NOT the traditional Baum-Welch-Algorithm. If you want to know in detail how it works please consider my Individuelles Projekt paper on the wiigee Homepage. Also there exist some english literature on the world wide web. Try to search for some papers by Rabiner or have a look at Vesa-Matti Mäntylä - "Discrete Hidden Markov Models with application to isolated user-dependent hand gesture recognition".

Overrides:

train in class HMM