Principle Component Decomposition for Automatic Context Induction

P. Robertson and R. Laddaga (USA)


Context Induction, Corpus Methods, Selfadaptive Software, Learning


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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