Read Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks Information Science and Statistics Robert G Cowell Philip Dawid Steffen L Lauritzen David J Spiegelhalter 9780387987675 Books
Download As PDF : Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks Information Science and Statistics Robert G Cowell Philip Dawid Steffen L Lauritzen David J Spiegelhalter 9780387987675 Books
Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.
Read Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks Information Science and Statistics Robert G Cowell Philip Dawid Steffen L Lauritzen David J Spiegelhalter 9780387987675 Books
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Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks (Information Science and Statistics) [Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter] on . PProbabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains Robert G. Cowell, Philip Dawid, Steffen L. Lauritzen, David J. Spiegelhalter,Probabilistic Networks and Expert Systems Exact Computational Methods for Bayesian Networks (Information Science and Statistics),Springer,0387987673,General,Expert systems (Computer science),Mathematics,Probabilities,Probabilities.,Statistics,Artificial intelligence,Bayesian Network; Graphical model; Junction tree; Machine learning; Probability propagation; artificial intelligence; expert system; intelligence; learning; modeling; probabilistic network; statistics; uncertainty,Bayesian Network;Graphical model;Junction tree;Machine learning;Probability propagation;artificial intelligence;expert system;intelligence;learning;modeling;probabilistic network;statistics;uncertainty,C,COMPUTERS / Expert Systems,COMPUTERS / General,COMPUTERS / Intelligence (AI) Semantics,Computer Science,Computers - General Information,Computers/Intelligence (AI) Semantics,Computing information technology,EXPERT SYSTEMS,Expert systems (Computer science),General,Intelligence (AI) Semantics,Knowledge-based systems / expert systems,MATHEMATICS / Probability Statistics / General,Mathematics,Mathematics/Probability Statistics - General,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik,Non-Fiction,Probabilities,Probabilities.,Probability Statistics - General,Probability statistics,Probability Theory and Stochastic Processes,Scholarly/Graduate,Science/General,Science/Math,Science/Mathematics,Statistical Theory and Methods,Statistics,Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences,Stochastics,TEXT,United States,COMPUTERS / Expert Systems,COMPUTERS / General,COMPUTERS / Intelligence (AI) Semantics,Computers/Intelligence (AI) Semantics,Expert Systems,Intelligence (AI) Semantics,MATHEMATICS / Probability Statistics / General,Mathematics/Probability Statistics - General,Probability Statistics - General,Science/General,Computers - General Information,Expert systems (Computer scien,Science/Mathematics,Artificial intelligence,Stochastics,Computing information technology,Knowledge-based systems / expert systems,Probability statistics,Mathematik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
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