* acousticfeatures.m: Matlab scr ipt to generate training and testing files from event timeseries.

* afm_mlpatterngen.m: Matlab scr ipt to extract feature information from acoustic event timeseries.

* extractevents.m: Matlab scr ipt to extract event timeseries using the complete run timeseries and the ground truth/label information.

* extractfeatures.m: Matlab scr ipt to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.

* sfm_mlpatterngen.m: Matlab scr ipt to extract feature information from esmic event timeseries.

* ml_train1.m: Matlab scr ipt implementation of the Maximum Likelihood Training Module.

?ml_test1.m: Matlab scr ipt implementation of the Maximum Likelihood Testing Module.

?knn.m: Matlab scr ipt implementation of the k-Nearest Neighbor Classifier Module.