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In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems a...
The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these ...
Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic...
with an Introduction to Bayesian Networks
The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used ...
Data Structures & Theory of Computation...
Theory and Algorithms
Addresses the use probability theory as a tool for designing with and implementing uncertainity reasoning. Provides many concrete algorithms, explores...
With an Introduction to Machine Learning, Second Edition
The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This...
Foundations of Algorithms, Fifth Edition offers a well-balanced presentation of algorithm design, complexity analysis of algorithms, and computational...
Using C++ Pseudocode
Foundations of Algorithms Using C++ Pseudocode offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, & compu...
This book brings all of the elements of data mining together in a single volume, saving the reader the time and expense of making multiple purchases. ...
With an Introduction to Machine Learning