Graphical Models - Info and Reading Options
Methods for Data Analysis and Mining
By Christian Borgelt and Rudolf Kruse
"Graphical Models" is published by Wiley in March 15, 2002, it has 368 pages and the language of the book is English.
“Graphical Models” Metadata:
- Title: Graphical Models
- Authors: Christian BorgeltRudolf Kruse
- Language: English
- Number of Pages: 368
- Publisher: Wiley
- Publish Date: March 15, 2002
“Graphical Models” Subjects and Themes:
- Subjects: ➤ Graphic methods - Grafische methoden - MATHEMATICAL MODELS - Data Mining - Méthodes graphiques - GRAPHS (CHARTS) - Análise de dados - Mathematical statistics - DATA PROCESSING - Data-analyse - Statistique - Mineração de dados
Edition Identifiers:
- The Open Library ID: OL7597743M - OL21180251W
- Online Computer Library Center (OCLC) ID: 48013562
- Library of Congress Control Number (LCCN): 2001046761
- ISBN-13: 9780470843376
- ISBN-10: 0470843373
- All ISBNs: 0470843373 - 9780470843376
AI-generated Review of “Graphical Models”:
Snippets and Summary:
Since this book is about graphical models and reasoning with them, we start by saying a few words about reasoning in general, with a focus on inferences under imprecision and uncertainty and the calculi to model these (cf. [Borgelt et al. 1998a]).
"Graphical Models" Description:
The Open Library:
The concept of modelling using graph theory has its origin in several scientific areas, notably statistics, physics, genetics, and engineering. The use of graphical models in applied statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides a self-contained introduction to the learning of graphical models from data, and includes detailed coverage of possibilistic networks - a relatively new reasoning tool that allows the user to infer results from problems with imprecise data. One major advantage of graphical modelling is that specialized techniques that have been developed in one field can be transferred into others easily. The methods described here are applied in a number of industries, including a recent quality testing programme at a major car manufacturer.
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