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hatzilygeroudis ioannis k. (curatore); tsihrintzis george a. (curatore); jain lakhmi c. (curatore) - fusion of machine learning paradigms

Fusion of Machine Learning Paradigms Theory and Applications

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 02/2023
Edizione: 1st ed. 2023





Trama

This book aims at updating the relevant computer science-related research communities, including professors, researchers, scientists, engineers and students, as well as the general reader from other disciplines, on the most recent advances in applications of methods based on Fusing Machine Learning Paradigms. Integrated or Hybrid Machine Learning methodologies combine together two or more Machine Learning approaches achieving higher performance and better efficiency when compared to those of their constituent components and promising major impact in science, technology and the society. The book consists of an editorial note and an additional eight chapters and is organized into two parts, namely: (i) Recent Application Areas of Fusion of Machine Learning Paradigms and (ii) Applications that can clearly benefit from Fusion of Machine Learning Paradigms.

 

This book is directed toward professors, researchers, scientists, engineers and students in Machine Learning-related disciplines, as the hybridism presented, and the case studies described provide researchers with successful approaches and initiatives to efficiently address complex classification or regression problems.

 

It is also directed toward readers who come from other disciplines, including Engineering, Medicine or Education Sciences, and are interested in becoming versed in some of the most recent Machine Learning-based technologies. Extensive lists of bibliographic references at the end of each chapter guide the readers to probe further into the application areas of interest to them.






Sommario

Editorial Note.- Artificial Intelligence as Dual-Use Technology.- Diabetic Retinopathy Detection using Transfer and Reinforcement Learning with effective image preprocessing and data augmentation techniques. 




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Altre Informazioni

ISBN:

9783031223709

Condizione: Nuovo
Collana: Intelligent Systems Reference Library
Dimensioni: 235 x 155 mm
Formato: Copertina rigida
Illustration Notes:XII, 193 p. 78 illus., 59 illus. in color.
Pagine Arabe: 193
Pagine Romane: xii


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