Get Free Shipping on orders over $79
Graphical Models: Representations for Learning, Reasoning and Data Mining : Representations for Learning, Reasoning and Data Mining - Christian Borgelt

Graphical Models: Representations for Learning, Reasoning and Data Mining

Representations for Learning, Reasoning and Data Mining

By: Christian Borgelt, Matthias Steinbrecher, Rudolf R Kruse

eText | 30 July 2009 | Edition Number 1

At a Glance

eText


$180.39

or 4 interest-free payments of $45.10 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
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.
on
Desktop
Tablet
Mobile

More in Probability & Statistics