logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Graphical models: Representations for learning, reasoning and data mining by Christian Borgelt, Matthias Steinbrecher, Professor Dr Rudolf R Kruse ISBN 9780470722107, 047072210X

  • SKU: EBN-1494056
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.4

15 reviews
Instant download (eBook) Graphical models: Representations for learning, reasoning and data mining after payment.
Authors:Christian Borgelt, Matthias Steinbrecher, Professor Dr Rudolf R Kruse
Pages:397 pages.
Year:2009
Editon:2ed.
Publisher: Wiley
Language:english
File Size:1.66 MB
Format:pdf
ISBNS:9780470722107, 047072210X
Categories: Ebooks

Product desciption

(Ebook) Graphical models: Representations for learning, reasoning and data mining by Christian Borgelt, Matthias Steinbrecher, Professor Dr Rudolf R Kruse ISBN 9780470722107, 047072210X

Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products