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

Kang, Byeong Ho; Compton, Paul

Hardcover

ISBN 10: 0367647664 ISBN 13: 9780367647667

Verlag: Chapman and Hall/CRC, 2021

Inhaltsangabe

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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Über die Autorin bzw. den 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."

Details zur Ausgabe

• Verlag: Chapman and Hall/CRC
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 0367647664
• ISBN 13: 9780367647667
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 198
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar