Sequence Classification Using Statistical Pattern Recognition

Posted in Science on September 24, 2008

Sequence Classification Using Statistical Pattern Recognition

Sequence classification is a significant problem that arises in many different real-world applications. The purpose of a sequence classifier is to assign a class label to a given sequence. Also, to obtain the pattern that characterizes the sequence is usually very useful. In this paper, a technique to discover a pattern from a given sequence is presented followed by a general novel method to classify the sequence. This method considers mainly the dependencies among the neighbouring elements of a sequence. In order to evaluate this method, a UNIX command environment is presented, but the method is general enough to be applied to other environments.

Author: José Antonio Iglesias, Carlos Iii University Madrid

Watch Video

Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Structured data