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Automated Design of Machine Learning and Search Algorithms

Name: Automated Design of Machine Learning and Search Algorithms
Brand: Springer Nature Switzerland AG
SKU: 9783030720681
Price: 648.07 PLN
Availability: InStock

Autor: Nelishia Pillay

Język:

Oprawa: Twarda

Wydawca: Springer Nature Switzerland AG

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

648.07 zł

This book presents recent advances in automated machine learning (AutoML) and automated algorithm de...

Informacje o książce

Autor

Nelishia Pillay

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2021

strony

187

EAN

9783030720681

ISBN

3030720683

Enbook ID

36742573

Wydawca

Springer Nature Switzerland AG

Waga

450

Wymiary

240 x 165 x 18

Pełny opis

This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future directions in this fast-developing area. Methods have been developed to automate the design of neural networks, heuristics and metaheuristics using techniques such as metaheuristics, statistical techniques, machine learning and hyper-heuristics. The book first defines the field of automated design, distinguishing it from the similar but different topics of automated algorithm configuration and automated algorithm selection. The chapters report on the current state of the art by experts in the field and include reviews of AutoML and automated design of search, theoretical analyses of automated algorithm design, automated design of control software for robot swarms, and overfitting as a benchmark and design tool. Also covered are automated generation of constructive and perturbative low-level heuristics, selection hyper-heuristics for automated design, automated design of deep-learning approaches using hyper-heuristics, genetic programming hyper-heuristics with transfer knowledge and automated design of classification algorithms. The book concludes by examining future research directions of this rapidly evolving field.The information presented here will especially interest researchers and practitioners in the fields of artificial intelligence, computational intelligence, evolutionary computation and optimisation.

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