Machine Learning Algorithms for Problem Solving in Computational Applications

What are the main challenges of computational molecular biology once the genome projects are completed? Integrative Approaches to Molecular Biology focuses on molecular biology beyond sequences: from

Generalized financial volatility is capitalism's Achilles' heel. And nowhere is the problem of controlling such volatility more acute than in monetary and exchange-rate relationships across countries

Technology has long played a central role in the formation of Americans' sense of selfhood. From the first canal systems through the moon landing, Americans have, for better or worse, derived unity from the common feeling of awe inspired by large-scale applications of technological prowess. American Technological Sublime continues the exploration of the social construction of technology that David Nye began in his award-winning book Electrifying America. Here Nye examines the continuing appeal of the "technological sublime" (a term coined by Perry Miller) as a key to the nation's history, using as examples the natural sites, architectural forms, and technological achievements that ordinary people have valued intensely.American Technological Sublime is a study of the politics of perception in industrial society. Arranged chronologically, it suggests that the sublime itself has a history - that sublime experiences are emotional configurations that emerge from new social and technological

There is a widely held misconception that the problem of ozone depletion in the upper atmosphere has been solved. In fact, while CFC production has been reduced in many places, the ongoing emissions o

A compendium of articles originally published in The Washington Quarterly between 1991 and 1995. They describe the changing nature of the problem of the proliferation of weapons of mass destruction, d

This comprehensive collection of current research in the development of speech perception and perceptual learning documents the striking changes that take place both in early childhood and throughout

foreword by Martin Davis and Hilary Putnam In 1900, the German mathematician David Hilbert put forth a list of 23 unsolved problems that he saw as being the greatest challenges for twentieth-century m

Since its inception in 1976, Computer Music Journal has led the field as the essential resource for musicians, composers, scientists, engineers, and computer enthusiasts interested in contemporary ele

Semantics of Programming Languages exposes the basic motivations and philosophy underlying the applications of semantic techniques in computer science. It introduces the mathematical theory of program

Rampant inflation is a major economic problem in many of the less developed countries; two out of three attempts to stabilize these economies fail. Inflation Stabilization provides a valuable descript

This study comes to grips with the industrial outranking problem, one of the major outstanding problems of current operations research and managerial decision-making. The problem, simply stated, is th

This book presents a coherent approach to the fast moving field of machine vision, using a consistent notation based on a detailed understanding of the image formation process.

This book presents a coherent approach to the fast moving field of machine vision, using a consistent notation based on a detailed understanding of the image formation process. It covers even the most

The methods of discrete choice analysis and their applications in the modelling of transportation systems constitute a comparatively new field that has largely evolved over the past 15 years. Since it

Winner of the 1983 Lanchester Prize of the Operations Research Society of AmericaThis book by a recognized authority on game theory and its applications introduces social scientists in a variety of di

Long before Betty Friedan wrote about "the problem that had no name" in The FeminineMystique, a group of American feminists whose leaders included Melusina Fay Peirce, Mary Livermore,and Charlotte Per

A comprehensive discussion of the problem of rational belief which develops the subject on the pattenr of Bayesian decision theory.This comprehensive discussion of the problem of rational belief devel

This book shows how the seventy largest corporations in America have dealt with a single economic problem: the effective administration of an expanding business. The author summarizes the history of

Erwin Schell's professional interests focused on two major concepts in industrial management. Primarily he was intrigued by the problem of synthesis, and labored to coordinate the diverse and sometime

An essential exploration of video game aesthetic that decenters the human player and challenges what it means to play.Do we play video games or do video games play us? Is nonhuman play a mere paradox or the future of gaming? And what do video games have to do with quantum theory? In Playing at a Distance, Sonia Fizek engages with these and many more daunting questions, forging new ways to think and talk about games and play that decenter the human player and explore a variety of play formats and practices that require surprisingly little human action. Idling in clicker games, wandering in walking simulators, automating gameplay with bots, or simply watching games rather than playing them―Fizek shows how these seemingly marginal cases are central to understanding how we play in the digital age. Introducing the concept of distance, Fizek reorients our view of computer-mediated play. To “play at a distance,” she says, is to delegate the immediate action to the machine and to become partic

An approachable introduction to elementary sheaf theory and its applications beyond pure math.Sheaves are mathematical constructions concerned with passages from local properties to global ones. They have played a fundamental role in the development of many areas of modern mathematics, yet the broad conceptual power of sheaf theory and its wide applicability to areas beyond pure math have only recently begun to be appreciated. Taking an applied category theory perspective, Sheaf Theory through Examples provides an approachable introduction to elementary sheaf theory and examines applications including n-colorings of graphs, satellite data, chess problems, Bayesian networks, self-similar groups, musical performance, complexes, and much more. With an emphasis on developing the theory via a wealth of well-motivated and vividly illustrated examples, Sheaf Theory through Examples supplements the formal development of concepts with philosophical reflections on topology, category theory, and

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deplo

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems.A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems―in humans, animals, and biological systems―develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offering the first comprehensive coverage of building robots inspired by natural cognitive systems. Contributors first provide a systematic definition of cognitive robotics and a history of developments in the field. They describe in detail five main approaches: developmental, neuro, evolutionary, swarm, and soft robotics. They go on to consider methodologies and concepts, treating topics that include c

Why higher education in the United States has lost its way, and how universities and colleges can focus sharply on their core mission.For The Real World of College, Wendy Fischman and Howard Gardner analyzed in-depth interviews with more than 2,000 students, alumni, faculty, administrators, parents, trustees, and others, which were conducted at ten institutions ranging from highly selective liberal arts colleges to less selective state schools. What they found challenged characterizations in the media: students are not preoccupied by political correctness, free speech, or even the cost of college. They are most concerned about their GPA and their resumes; they see jobs and earning potential as more important than learning. Many say they face mental health challenges, fear that they don’t belong, and feel a deep sense of alienation. Given this daily reality for students, has higher education lost its way? Fischman and Gardner contend that US universities and colleges must focus sharply

A data-driven exploration of how children’s language learning varies across different languages, providing both a theoretical framework and reference.The Wordbank Project examines variability and cons

A completely updated and expanded comprehensive treatment of VHDL and its applications to the design and simulation of real, industry-standard circuits. This comprehensive treatment of VHDL and its

A classic and influential work that laid the theoretical foundations for information theory and a timely text for contemporary informations theorists and practitioners. With the influential book Cyb

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapid

A broad overview of market mechanisms, with an emphasis on the interplay between theory and real-life applications; examples range from eBay auctions to school choice.This book offers an introduction

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information source

How family video game play promotes intergenerational communication, connection, and learning.Video games have a bad reputation in the mainstream media. They are blamed for encouraging social isolatio

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods th

This introduction to natural resource economics treats resources as a type of capital; their management is an investment problem requiring forward-looking behavior within a dynamic setting. Market fai