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Characterization of state merging strategies which ensure identification in the limit from complete data Cristina Bibire
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Advanced Artificial Intelligence Lecture 2: Search
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Informed Search Russell and Norvig: Ch. 4.1 - 4.3 CSMSC 421 – Fall 2006
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Informed (Heuristic) Search Evaluation Function returns a value estimating the desirability of expanding a frontier node Two Basic Approaches –Expand node
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Lazy Associative Classification By Adriano Veloso,Wagner Meira Jr., Mohammad J. Zaki Presented by: Fariba Mahdavifard Department of Computing Science University
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Uninformed Search Reading: Chapter 3 by today, Chapter 4.1-4.3 by Wednesday, 9/12 Homework #2 will be given out on Wednesday DID YOU TURN IN YOUR SURVEY?
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Accelerating Random Walks Wei Dept. of Computer Science Cornell University (joint work with Bart Selman)
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12009/12/16 Hierarchical Ensemble of Global and Local Classifiers for Face Recognition Yu Su, Shiguang Shan, Member, IEEE, Xilin Chen, Member, IEEE, and
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