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Machine Learning
Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but
The Birth of the Japanese Labor Movement
Few subjects have been so cursorily treated as the first Japanese unions. Yet their history contains much to intrigue the student of human events: The American Federation of Labor organizer who founded the Japanese labor movement; the Japanese Activists who spent years in AMerica studying unionism a major railway strike that won the hearts of the people of Japan; a major Japanese union newspaper with most of its copy in Japanese but always a few pages in English. These and other puzzling events can be understood only in the context of the development of Japan’s labor movement between 1868 and 1900. Stephen E. Marsland effectively brings together primary and secondary sources to demonstrate...
Human Behavior Recognition Technologies
"This book takes an insightful glance into the applications and dependability of behavior detection and looks into the social, ethical, and legal implications of these areas"--Provided by publisher.
Handbook of Ambient Intelligence and Smart Environments
Our homes anticipate when we want to wake up. Our computers predict what music we want to buy. Our cars adapt to the way we drive. In today’s world, even washing machines, rice cookers and toys have the capability of autonomous decision-making. As we grow accustomed to computing power embedded in our surroundings, it becomes clear that these ‘smart environments’, with a number of devices controlled by a coordinating system capable of ‘ambient intelligence’, will play an ever larger role in our lives. This handbook provides readers with comprehensive, up-to-date coverage in what is a key technological field. . Systematically dealing with each aspect of ambient intelligence and smart...
Statistical Models of Shape
The goal of image interpretation is to convert raw image data into me- ingful information. Images are often interpreted manually. In medicine, for example, a radiologist looks at a medical image, interprets it, and tra- lates the data into a clinically useful form. Manual image interpretation is, however, a time-consuming, error-prone, and subjective process that often requires specialist knowledge. Automated methods that promise fast and - jective image interpretation have therefore stirred up much interest and have become a signi?cant area of research activity. Early work on automated interpretation used low-level operations such as edge detection and region growing to label objects in ima...
The Artist in the Machine
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover...
Port Security Management
The term homeland security hardly existed before September 11, 2001, yet today it dominates public policy and the economic agendas of world governments. The transportation industries have been subjected to unprecedented scrutiny and regulatory mandates in recent years, and the port and maritime sector are no exception. Port Security Management reflects this altered landscape of the post-9/11 era, providing real-world guidelines for strategic security planning and implementation processes. Balance security with business needs The book begins with a historical and organizational perspective on maritime and port security. It then discusses the management of risk assessment, presenting it within...
Port Security Management
Sea and freshwater ports are a key component of critical infrastructure and essential for maintaining global and domestic economies. In order to effectively secure a dynamic port facility operation, one must understand the business of maritime commerce. Following in the tradition of its bestselling predecessor, Port Security Management, Second Edit
Ensemble Methods
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Machine Learning For Dummies
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate a...
