Computational Methods to Study Phenotype Evolution and Feature Selection Techniques for Biological Data Under Evolutionary Constraints

Computational Methods to Study Phenotype Evolution and Feature Selection Techniques for Biological Data Under Evolutionary Constraints
Author: Christina Kratsch
Publisher:
Total Pages:
Release: 2014
Genre:
ISBN:
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Computational Methods to Study Phenotype Evolution and Feature Selection Techniques for Biological Data Under Evolutionary Constraints
Language: en
Pages:

Computational Methods to Study Phenotype Evolution and Feature Selection Techniques for Biological Data Under Evolutionary Constraints

Authors: Christina Kratsch
Categories:
Type: BOOK - Published: 2014 - Publisher:

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Models and Methods for Biological Evolution
Language: en
Pages: 340

Models and Methods for Biological Evolution

Authors: Gilles Didier
Categories: Science
Type: BOOK - Published: 2024-05-21 - Publisher: John Wiley & Sons

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Biological evolution is the phenomenon concerning how species are born, are transformed or disappear over time. Its study relies on sophisticated methods that i
Computational Methods to Investigate Connectivity in Evolvable Systems
Language: en
Pages: 0

Computational Methods to Investigate Connectivity in Evolvable Systems

Authors: Acacia Lee Ackles
Categories: Electronic dissertations
Type: BOOK - Published: 2022 - Publisher:

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Evolution sheds light on all of biology, and evolutionary dynamics underlie some of the most pressing issues we face today. If we can deepen our understanding o
Evolution and Biocomputation
Language: en
Pages: 292

Evolution and Biocomputation

Authors: Wolfgang Banzhaf
Categories: Computers
Type: BOOK - Published: 1995-03-06 - Publisher: Springer Science & Business Media

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This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a
Machine Learning for Evolution Strategies
Language: en
Pages: 120

Machine Learning for Evolution Strategies

Authors: Oliver Kramer
Categories: Technology & Engineering
Type: BOOK - Published: 2016-05-25 - Publisher: Springer

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This book introduces numerous algorithmic hybridizations between both worlds that show how machine learning can improve and support evolution strategies. The se