An Analysis of Information Dynamic Behavior Using Autoregressive Models

An Analysis of Information Dynamic Behavior Using Autoregressive Models

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Information Theory is a branch of mathematics, more specifically probability theory, that studies information quantification.Recently, several researches have billy joel the stranger shirt been successful with the use of Information Theoretic Learning (ITL) as a new technique of unsupervised learning.In these works, information measures are used as criterion of optimality in learning.In this article, we will analyze a still unexplored aspect of buy shredder ptc these information measures, their dynamic behavior.

Autoregressive models (linear and non-linear) will be used to represent the dynamics in information measures.As a source of dynamic information, videos with different characteristics like fading, monotonous sequences, etc., will be used.