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Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models by Antonino Freno, Edmondo Trentin - Paperback
810.60 AED

Hybrid Random Fields: A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models by Antonino Freno, Edmondo Trentin - Paperback

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Category Type
Information Technology
ISBN
9783642268182
Author
Antonino Freno, Edmondo Trentin
Publisher
Springer
Description:

The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Information Technology
    ISBN
    9783642268182
    Languages
    English
    Item EAN
    2724437227813
    People
    Author
    Antonino Freno, Edmondo Trentin
    Category Type
    Information Technology
    ISBN
    9783642268182
    Languages
    English
    Item EAN
    2724437227813
    People
    Author
    Antonino Freno, Edmondo Trentin
    People
    Publisher
    Springer
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in

    The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

    The purpose of the 10th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2011) was held on May16-18, 2011 in Sanya, Hainan Island, China is to bring together scientist, engineers, computer users, students to share their experiences and exchange new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve the.

    The conference organizers selected the best 20 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review.

    Product Features:
    • Category: Information Technology
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Roger Lee
    • Publisher: Springer
    • ISBN: 9783642268168
    • Number of Pages: 264
    • Dimensions: 9.15 x 6.16 x 0.62 inches
 

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