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Abstract: Methods for Statistical Inference: Extending the Evolutionary Computation Paradigm A dissertation presented to the Faculty of the Graduate School of Arts and Sciences of Brandeis University, Waltham, Massachusetts by Hugues Juill'e In many instances, Evolutionary Computation (EC) techniques have demonstrated their ability to tackle ill-structured and poorly understood problems against which traditional Artificial Intelligence (AI) search algorithms fail. The principle of operation behind EC... (Update)
Context of citations to this paper: More
.... This approach to creating and maintaining gradient for coevolutionary learning is substantially di#erent from those of Rosin [18] Juille [7], Olsson [15] and Paredis [16] 2.2 Learning: Following Gradient This section describes how we measure success at following a high...
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1.1: Semantic Niching and Coevolution in Optimization Problems - Juille, Pollack (Correct)
0.5: An Indexed Bibliography of Genetic Algorithm Theses - Alander (1999) (Correct)
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BibTeX entry: (Update)
H. Juille. Methods for Statistical Inference: Extending the Evolutionary Computation Paradigm. PhD thesis, Brandeis University, 1999. http://citeseer.ist.psu.edu/juille99method.html More
@misc{ juille99methods,
author = "H. Juille",
title = "Methods for Statistical Inference: Extending the Evolutionary Computation
Paradigm",
text = "H. Juille. Methods for Statistical Inference: Extending the Evolutionary
Computation Paradigm. PhD thesis, Brandeis University, 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/juille99method.html" }
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