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What are Bayesian Belief Networks? An overview with Eugene Charniak

Bayesian Network without tears by Eugene Charniak of Brown university, is a classical introductory writing by the author of seminal texts like Statistical Language Learning, Introduction to Artificial Intelligence, Artificial Intelligence Programming  and Computational Semantics. It has repeatedly been (officially or unofficially) made part of PhD comprehensive exam reading lists. This short and well-written 14 page paper published…

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A framework for mining interesting pattern sets by Bie, Kontonasios and Spyropoulou – A Review

Subjectivity of an interestingness measure has been a subject of discussion for a while in the data mining and machine learning communities. In their SIGKDD paper titled “A framework for mining interesting pattern sets”, authors Bie, Kontonasios and Spyropoulou have suggested a framework, which approaches the problem in a dual-attack manner. Assuming that the prior…

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