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		Charles Elkan, an American mathematician, computer scientist and professor in the computer science and engineering department at University of California, San Diego. His main research interests include machine learning, neural networks, fuzzy logic, data mining, and analytics. In 1989, Charles Elkan applied conspiracy numbers to theorem proving ^[1], similar to Victor Allis' Proof-number search algorithm.
Charles Elkan ^[2]

Selected Publications

^[3] ^[4]

1988 ...

Charles Elkan, David McAllester (1988). Automated Inductive Reasoning about Logic Programs. 5. ICLP / SLP
Charles Elkan (1989). Conspiracy Numbers and Caching for Searching And/Or Trees and Theorem-Proving. IJCAI 1989, pdf

Charles Elkan (1990). Incremental, Approximate Planning. AAAI 1990
Charles Elkan (1991). Adaptive Database Locking. Ph.D. thesis, Cornell University, advisor Prakash Panangaden
Charles Elkan (1993). The Paradoxical Success of Fuzzy Logic. AAAI 1993, pdf
Charles Elkan (1994). Elkan's Reply: The Paradoxical Controversy over Fuzzy Logic. IEEE Expert, Vol. 9, No. 4
Charles Elkan (1994). The Paradoxical Success of Fuzzy Logic. IEEE Expert, Vol. 9, No. 4
Alberto Maria Segre, Charles Elkan (1994). A High-Performance Explanation-Based Learning Algorithm. Artificial Intelligence, Vol. 68, Nos. 1-2

Charles Elkan (2011). Reinforcement Learning with a Bilinear Q Function. EWRL 2011
Zachary C. Lipton, John Berkowitz, Charles Elkan (2015). A Critical Review of Recurrent Neural Networks for Sequence Learning. arXiv:1506.00019v4

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