Principle Component Decomposition for Automatic Context Induction

P. Robertson and R. Laddaga (USA)

Keywords

Context Induction, Corpus Methods, Selfadaptive Software, Learning

Abstract

Complexity in Intelligent Systems can be man aged by breaking the world into manageable contexts. We present an algorithm based on Minimal Description Length (MDL) that permits contexts to be automatically induced from corpus training data. The algorithm does not require prior assignment of the number of contexts.

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