eBook - PDF
Intelligent Systems for Information Processing: From Representation to Applications
- 488 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Intelligent Systems for Information Processing: From Representation to Applications
About this book
Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:⢠Tools for construction of intelligent systems⢠Contributions by world leading experts⢠Fundamental issues and applications⢠New technologies for web searching⢠Methods for modeling uncertain information⢠Future directions in web technologies⢠Transversal to methods and domains
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Yes, you can access Intelligent Systems for Information Processing: From Representation to Applications by B. Bouchon-Meunier,L. Foulloy,Ronald R. Yager in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front Cover
- Intelligent Systems for Information Processing: From Representation to Applications
- Copyright Page
- Contents
- Preface
- Part 1: Perception-based Information Processing
- Part 2: Representing Knowledge
- Part 3: Retrieving Information
- Part 4: Reasoning
- Part 5: Uncertainty
- Part 6: Learning and Mining
- Part 7: Foundations
- Part 8: Applications
- Author Index