Data Quality and Record Linkage Techniques, Thomas N. Herzog; Fritz J. Scheuren; William E. Wi

Автор: Dalton Russell J
Название: Political Parties and Democratic Linkage
ISBN: 0199674965 ISBN-13(EAN): 9780199674961
Издательство: Oxford Academ
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Цена: 41700.00 T
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Описание: Political Parties and Democratic Linkage examines how political parties ensure the functioning of the democratic process in contemporary societies. Based on unprecedented cross-national data, the authors find that the process of party government is still alive and well in most contemporary democracies.

Автор: Ying-ping Chen
Название: Linkage in Evolutionary Computation
ISBN: 3642098762 ISBN-13(EAN): 9783642098765
Издательство: Springer
Цена: 181670.00 T
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Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642263275 ISBN-13(EAN): 9783642263279
Издательство: Springer
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Цена: 158380.00 T
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Автор: Ying-ping Chen
Название: Exploitation of Linkage Learning in Evolutionary Algorithms
ISBN: 3642128335 ISBN-13(EAN): 9783642128332
Издательство: Springer
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Цена: 158380.00 T
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Описание: The exploitation of linkage learning is enhancing the performance of evolutionary algorithms. This monograph examines recent progress in linkage learning, with a series of focused technical chapters that cover developments and trends in the field.

Автор: Ying-ping Chen
Название: Linkage in Evolutionary Computation
ISBN: 3540850678 ISBN-13(EAN): 9783540850670
Издательство: Springer
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Цена: 181670.00 T
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Описание: The issue of linkage in GEAs has garnered recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. This title presents a work which shows that such parameters tweaking based approaches have their limits.

Автор: Ying-ping Chen
Название: Extending the Scalability of Linkage Learning Genetic Algorithms
ISBN: 3642066712 ISBN-13(EAN): 9783642066719
Издательство: Springer
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Цена: 130430.00 T
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Описание: Introduction.- Genetic Algorithms and Genetic Linkage.- Genetic Linkage Learning Techniques .- Linkage Learning Genetic Algorithm.- Preliminaries: Assumptions and the Test Problem.- A First Improvement: Using Promoters.- Convergence Time for the Linkage Learning Genetic Algorithm.-Introducing Subchromosome Representations.- Conclusions.