Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2004
Genre:	Schulbücher
	Applied mathematics / Artificial Intelligence / Automated Pattern Recognition / C / engineering / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Maths for engineers / Mustererkennung / pattern recognition / Probabilities / Probability & statistics / Probability Theory / Probability Theory and Stochastic Processes / Statistical Theory and Methods / Statistics / Stochastics mehr...
ISBN:	9783540208761
EAN-Code:	9783540208761
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#146 - Studies in Fuzziness and Soft Computing
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	1460 gr
Seiten:	328
Illustration:	XI, 328 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In recent years probabilistic graphical models, especially Bayesian networks and decision graphs, have experienced significant theoretical development within areas such as artificial intelligence and statistics. This carefully edited monograph is a compendium of the most recent advances in the area of probabilistic graphical models such as decision graphs, learning from data and inference. It presents a survey of the state of the art of specific topics of recent interest of Bayesian Networks, including approximate propagation, abductive inferences, decision graphs, and applications of influence. In addition, Advances in Bayesian Networks presents a careful selection of applications of probabilistic graphical models to various fields such as speech recognition, meteorology or information retrieval.