Ripple-Down Rules: The Alternative to Machine Learning - Couverture rigide

Compton, Paul; Kang, Byeong Ho

 
9780367647667: Ripple-Down Rules: The Alternative to Machine Learning
Couverture rigide
ISBN 10 : 0367647664 ISBN 13 : 9780367647667
Editeur : Chapman & Hall/CRC, 2021

Synopsis

Machine learning algorithms hold out extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of the data.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Paul Compton initially studied philosophy before majoring in physics. He spent 20 years as a biophysicist at the Garvan Institute of Medical Research, and then 20 years in Computer Science and Engineering at the University of New South Wales, where he was head of school for 12 years and is now an emeritus professor.

Byeong Ho Kang majored in mathematics in Korea, followed by a PhD on Ripple-Down Rules at the University of New South Wales and the algorithm he developed is the basis of most industry RDR applications. He is a professor, with a research focus on applications, and head of the ICT discipline at the University of Tasmania."

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman & Hall/CRC
Date d'édition
2021
Langue
anglais
ISBN 10 
0367647664
ISBN 13 
9780367647667
Reliure
Relié
Nombre de pages
196
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9780367644321: Ripple-Down Rules

Edition présentée

ISBN 10 :  0367644320 ISBN 13 :  9780367644321
Editeur : Routledge, 2021
Couverture souple