This manual is to explain the program
execution procedures created in the Monte Carlo Dynamic
Classifier (MCDC) Tools development and experiment supporting
work.Monte Carlo
Dynamic Classifier Tools is a program that performs model
estimation of arbitrary observed data sequences and estimation
of state sequences of its estimated model.The estimated model
can be used for class separation of observed data sequences by
applying it to different observed data sequences and calculating
the likelihood of the model.MCDC Tools is composed of the following program bundle:
MCDCTrain
Model
estimation program
MCDCTest
Calculation
of model likelihood program
Graphs
A set of functions
for graph drawing of estimated models
The reference manual in PDF format is available in the
download page.