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Interpretable Artificial Intelligence: A Perspective of Granular Computing

Om Interpretable Artificial Intelligence: A Perspective of Granular Computing

This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) ¿ Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783030649487
  • Bindende:
  • Hardback
  • Sider:
  • 429
  • Utgitt:
  • 27. mars 2021
  • Utgave:
  • 12021
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 822 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 8. april 2026

Beskrivelse av Interpretable Artificial Intelligence: A Perspective of Granular Computing

This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) ¿ Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

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