Graphical Models for Machine Learning and Digital Communication

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors,

"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This

Decision trees and decision rule systems are widely used in different applicationsas algorithms for problem solving, as predictors, and as a way forknowledge representation. Reducts play key role in t

The popularity of entertainment gaming over the last decades has led to the use of games for non-entertainment purposes in areas such as training and business support. The emergence of the serious gam

The popularity of entertainment gaming over the last decades has led to the use of games for non-entertainment purposes in areas such as training and business support. The emergence of the serious gam

Theng (Swinburne U. of Technology, Malaysia) compiles 10 chapters that consider assistive and augmentive communication to aid in communication, social skills, spatial learning, and e-learning for the

This work gathers recent international research on vision-based systems for analyzing and interpreting motion from video footage. Chapter topics include graphical models for representation and recogni

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on

Gaining a thorough understanding of today's complex workplace is of vital importance to both business professionals and academics—not only because it leads to a deeper understanding of individual moti

Modern communications technology demands smaller, faster and more efficient circuits. This book reviews the fundamentals of electromagnetism in passive and active circuit elements, highlighting various effects and potential problems in designing a new circuit. The author begins with a review of the basics - the origin of resistance, capacitance, and inductance - then progresses to more advanced topics such as passive device design and layout, resonant circuits, impedance matching, high-speed switching circuits, and parasitic coupling and isolation techniques. Using examples and applications in RF and microwave systems, the author describes transmission lines, transformers, and distributed circuits. State-of-the-art developments in Si based broadband analog, RF, microwave, and mm-wave circuits are reviewed. With up-to-date results, techniques, practical examples, illustrations and worked examples, this book will be valuable to advanced undergraduate and graduate students of electrical

"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This

Intended for designers of digital communications systems, this volume identifies common principles underlying an array of media and applications, and then situates these principles within a unifying f

Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines.

Internet Commerce 3rd Edition has been revised to reflect the latest developments in this rapidly changing area. All chapters feature Australian and international examples of policy reform and innovat

This book represents the 18th of AAHE’s series on service-learning in the disciplines and focuses on service-learning strategies and models in biology. Although, there are obvious applications for ser

The fifth volume in a AAHE and Campus Compact’s series on service-learning in the disciplines, this volume focuses on curriculum reform in accounting programs based on goals identified by accounting e

Presents the main existing models of the mass communications process which have been developed during the last thirty years, providing brief descriptions of the most significant concepts and ideas in