Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
Karthik Gopalratnam; Diane J. Cook
Intelligent Systems, IEEE
Volume 22, Issue 1, Jan.-Feb. 2007 Page(s):52 - 58
Digital Object Identifier   10.1109/MIS.2007.15
Summary:Intelligent systems that can predict future events can make more reliable decisions. Active LeZi, a sequential prediction algorithm, can reason about the future in stochastic domains without domain-specific knowledge. In this article, potential of constructing a prediction algorithm based on data compression techniques are investigated. Active LeZi prediction algorithm approaches sequential prediction from an information-theoretic standpoint. For any sequence of events that can be modeled as a stochastic process, ALZ uses Markov models to optimally predict the next symbol

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