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Information Theory and Machine Learning - Tapa dura

 
9783036553078: Information Theory and Machine Learning
Tapa dura
ISBN 10: 303655307X ISBN 13: 9783036553078
Editorial: MDPI AG, 2022

Sinopsis

The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges. This Special Issue, "Machine Learning and Information Theory", aims to collect recent results in this direction reflecting a diverse spectrum of visions and efforts to extend conventional theories and develop analysis tools for these complex machine learning systems.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
MDPI AG
Año de publicación
2022
Idioma
Inglés
ISBN 10 
303655307X
ISBN 13 
9783036553078
Encuadernación
Tapa dura
Número de páginas
254
Editor
Tian Chao, Zheng Lizhong
Contacto del fabricante
no disponible
Persona responsable
no disponible