A Hybrid Method for Random Pattern Sequence Classification
Zoraida Martínez, Daniel Barráez, Carenne C. Ludeñez · Communications in Statistics - Simulation and Computation · 2011
We present a hybrid method for random pattern sequence classification that takes into account the random structural properties of the sequence. The method works in two steps. A segmentation step, dividing the original sequence into segments, such that all observations in a same segment belong to a unique class, and a classification step, where each segment is classified by a neural network classifier.