ABE-IPSABE HOLDINGABE BOOKS
English Polski
Dostęp on-line

Książki

0.00 PLN
Schowek (0) 
Schowek jest pusty
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Autorzy
Wydawnictwo Elsevier Science & Technology
Data wydania 31/05/1997
Liczba stron 584
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
Język angielski
ISBN 9781558604797
Kategorie Machine learning
316.05 PLN (z VAT)
$71.09 / €67.76 / £58.82 /
Produkt na zamówienie
Dostawa 5-6 tygodni
Ilość
Do schowka

Opis książki

Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.


Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Spis treści

Chapter 1 Uncertainty In AI Systems: An Overview

Chapter 2 Bayesian Inference

Chapter 3 Markov and Bayesian Networks: Two Graphical Representations of Probabilistic Knowledge

Chapter 4 Belief Updating by Network Propagation

Chapter 5 Distributed Revision of Composite Beliefs

Chapter 6 Decision and Control

Chapter 7 Taxonomic Hierarchies, Continuous Variables, and Uncertain Probabilities

Chapter 8 Learning Structure from Data

Chapter 9 Non-Bayesian Formalisms for Managing Uncertainty

Chapter 10 Logic and Probability: The Strange Connection

Polecamy również książki

Strony www Białystok Warszawa
801 777 223