(Enter summary)
Abstract: The use of bias with automated learning
systems has become an important area of
research. The use of bias with evolutionary
techniques of learning has been shown to
have advantages when complex structures
are evolved. This is especially true when
the semantics of the evolving population
of structures is not explicitly represented
or analysed during the evolution. This paper
describes a framework which brings together
two types of bias, namely search bias
(the way new structures are... (Update)
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BibTeX entry: (Update)
@inproceedings{ whigham96search,
author = "P. A. Whigham",
title = "Search Bias, Language Bias, and Genetic Programming",
booktitle = "Genetic Programming 1996: Proceedings of the First Annual Conference",
month = "28--31",
publisher = "MIT Press",
address = "Stanford University, CA, USA",
editor = "John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo",
pages = "230--237",
year = "1996",
url = "citeseer.ist.psu.edu/whigham96search.html" }
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Grammatically-based genetic programming
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The role of heuristics in learning by discovery: Three case .. (context) - Lenat - 1984
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On using syntactic constraints with genetic programming (context) - Gruau - 1996
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Inductive bias and genetic programming
- Whigham
13
Production genetic algorithms for automated hardware design .. (context) - Mizoguchi, Hemmi et al. - 1994
7
Applying logic grammars to induce subfunctions in genetic pr.. (context) - Wong, Leung - 1995
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