Ripple-Down Rules: The Alternative to Machine Learning - Tapa dura

Kang, Byeong Ho; Compton, Paul

 
9780367647667: Ripple-Down Rules: The Alternative to Machine Learning
Tapa dura
ISBN 10: 0367647664 ISBN 13: 9780367647667
Editorial: Chapman and Hall/CRC, 2021

Sinopsis

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.

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Acerca del autor

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."

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Chapman and Hall/CRC
Año de publicación
2021
Idioma
Inglés
ISBN 10 
0367647664
ISBN 13 
9780367647667
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
198
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780367644321: Ripple-Down Rules: The Alternative to Machine Learning

Edición Destacada

ISBN 10:  0367644320 ISBN 13:  9780367644321
Editorial: Routledge, 2021
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