Last edited by Tajora
Friday, April 17, 2020 | History

5 edition of Uncertainty in Artificial Intelligence 5 (Machine Intelligence and Pattern Recognition, 10) found in the catalog.

Uncertainty in Artificial Intelligence 5 (Machine Intelligence and Pattern Recognition, 10)

  • 278 Want to read
  • 10 Currently reading

Published by North-Holland .
Written in English

    Subjects:
  • Artificial Intelligence - General,
  • Artificial intelligence,
  • Computer graphics software,
  • Image processing,
  • Pattern recognition,
  • Signal processing,
  • Computers - General Information,
  • Science/Mathematics

  • Edition Notes

    ContributionsJohn F. Lemmer (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages459
    ID Numbers
    Open LibraryOL10261255M
    ISBN 100444887393
    ISBN 109780444887399


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Uncertainty in Artificial Intelligence 5 (Machine Intelligence and Pattern Recognition, 10) by Max Henrion Download PDF EPUB FB2

Uncertainty in Artificial Intelligence 5 (Machine Intelligence and Pattern Recognition) (v. Uncertainty in Artificial Intelligence 5 book 5): Computer Science Books @ mat: Paperback.

Uncertainty in Artificial Intelligence 5 (MACHINE INTELLIGENCE AND PATTERN RECOGNITION) [Max Henrion, Ross D. Shachter, Laveen N. Kanal, John F. Lemmer] on *FREE* Cited Uncertainty in Artificial Intelligence 5 book Uncertainty in Artificial Intelligence 5 (ISSN) Kindle Edition by Max Henrion (Author), Ross D.

Shachter (Author), Laveen N. Kanal (Author), & Format: Kindle Edition. ISBN Cited by: Uncertainty in artificial intelligence 5. [Max Henrion;] Print book: EnglishView all editions and formats: Rating: (not yet rated) 0 with reviews - Be the first.

Subjects: Artificial intelligence. Uncertainty. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study.

This book develops a framework that shows how uncertainty in AI Format: Hardcover. Uncertainty in Artificial Intelligence. Edited by John F. LEMMER, Laveen N. KANAL. Volume 5, Pages () select article The Myth of Modularity in Rule-Based Systems for Reasoning with Uncertainty.

Book chapter Full text access The Myth of Modularity in Rule-Based Systems for Reasoning with Uncertainty. This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

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The representation of uncertainty is a central issue in Artificial Intelligence Uncertainty in Artificial Intelligence 5 book and is being addressed in many different ways. Each approach has its proponents, and each has had its detractors. However. This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence.

By means of mathematical theories, fashions, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of data and intelligence that occur in the middle of the.

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Uncertainty in Artificial Intelligence 5 COVID Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be Edition: 1. This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI.

It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language - the carrier of knowledge and intelligence Pages: The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems.

A good grounding in Cited by:   The book focuses on the processes, methodologies, and approaches involved in artificial intelligence, including approximations, computational methods, Bayesian networks, and probabilistic Edition: 1.

The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study. This book develops a framework that shows how uncertainty in AI. Description. Uncertainty in Artificial Intelligence contains the proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence held at the Catholic University of America in Washington, DC, on JulyThe papers focus on methods of reasoning and decision making under uncertainty as applied to problems in artificial Book Edition: 1.

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Introduction to Artificial Intelligence by Cristina Conati. This note provides an introduction to the field of artificial intelligence.

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The book is laid out into 5. Papers presented at the Sixth Conference on Uncertainty in Artificial Intelligence, held in July,at the Massachusetts Institute of Technology, Cambridge, Mass. Description: xvi, pages:. Aims. The student understands and appreciates the role and need for uncertainty in artificial intelligence systems.

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