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Machine Learning Proceedings 1988
Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms
edited_book
Author(s):
Richard A. Caruana
,
J. David Schaffer
Publication date
(Print):
1988
Publisher:
Elsevier
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Genomic Prediction: Genetic Gain
Author and book information
Book Chapter
Publication date (Print):
1988
Pages
: 153-161
DOI:
10.1016/B978-0-934613-64-4.50021-9
SO-VID:
33fb524d-09b5-4df6-9d83-0498600a79ee
License:
https://www.elsevier.com/tdm/userlicense/1.0/
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Book chapters
pp. 22
Concept Simplification and Prediction Accuracy
pp. 54
AutoClass: A Bayesian Classification System
pp. 107
ID5: An Incremental ID3
pp. 121
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains
pp. 135
An Empirical Comparison of Genetic and Decision-Tree Classifiers
pp. 153
Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms
pp. 291
Integrated Learning with Incorrect and Incomplete Theories
pp. 339
Machine Invention of First-order Predicates by Inverting Resolution
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