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.
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Prepare for the future of Microsoft automation with this no-nonsense guide
Windows PowerShell 2 is the scripting language that enables automation within the Windows operating system. Packed with powerful new features, this latest version is complex, and Windows PowerShell 2 For Dummies is the perfect guide to help system...
Programming Drupal 7 Entities
Expose local or remote data as Drupal 7 entities and build custom solutions
Understand and develop using the entity paradigm and entity metadata wrappers
Create, retrieve, update, and delete (CRUD) operations on all entities
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The Design and Implementation of Geographic Information Systems We have written this book to help practitioners design and implement multiuser, multiunit GISs to assist in their spatial decision-making.These are called corporate or enterprise GISs.We presume that you know what a GIS is, already have some experience with GIS, and have some ideas about what it can do.We also assume you are interested in improving... ASP.Net Database Programming Weekend Crash Course (With CD-ROM) Written by expert web developers from Price Waterhouse-Coopers, ASP.NET Database Programming Weekend Crash Course will quickly enable you to create dynamic data-driven web applications using Microsoft's exciting new .NET technologies.
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