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Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation)
Quantum Computing: A Gentle Introduction (Scientific and Engineering Computation)

The combination of two of the twentieth century's most influential and revolutionary scientific theories, information theory and quantum mechanics, gave rise to a radically new view of computing and information. Quantum information processing explores the implications of using quantum mechanics instead of classical mechanics to model...

Thinking as Computation: A First Course (MIT Press)
Thinking as Computation: A First Course (MIT Press)

This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects...

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)
Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise...

Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century."
Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for
...
Algorithms Unlocked
Algorithms Unlocked

Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves...

Everyday Information: The Evolution of Information Seeking in America (MIT Press)
Everyday Information: The Evolution of Information Seeking in America (MIT Press)

All day, every day, Americans seek information. We research major purchases. We check news and sports. We visit government Web sites for public information and turn to friends for advice about our everyday lives. Although the Internet influences our information-seeking behavior, we gather information from many sources: family and friends,...

3D Model Recognition from Stereoscopic Cues (Artificial Intelligence Series)
3D Model Recognition from Stereoscopic Cues (Artificial Intelligence Series)
3D Model Recognition from Stereoscopic Cues provides a rich, integrated account of work done within a large-scale, multisite, Alvey-funded collaborative project in computer vision. It presents a variety of methods for deriving surface descriptions from stereoscopic data and for matching those descriptions to three-dimensional models...
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The...
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
Semi-Supervised Learning (Adaptive Computation and Machine Learning)
In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are...
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statistics to address uncertainty while incorporating tools from logic, databases, and programming languages to represent structure. In...
Service-Oriented Computing (Cooperative Information Systems)
Service-Oriented Computing (Cooperative Information Systems)
Service-Oriented Computing (SOC) promises a world of cooperating services loosely connected, creating dynamic business processes and agile applications that span organizations and platforms. As a computing paradigm, it utilizes services as fundamental elements to support rapid, low-cost development of distributed applications in heterogeneous...
The Art of Agent-Oriented Modeling (Intelligent Robotics and Autonomous Agents)
The Art of Agent-Oriented Modeling (Intelligent Robotics and Autonomous Agents)
Today, when computing is pervasive and deployed over a range of devices by a multiplicity of users, we need to develop computer software to interact with both the ever-increasing complexity of the technical world and the growing fluidity of social organizations. The Art of Agent-Oriented Modeling presents a new conceptual model for...
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