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Machine Translation (MIT Press Essential Knowledge series)

MIT Press, 2017

A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. About the Author Thierry Poibeau is Director of

Research at the Centre National de la Recherche Scientifique in Paris, Head of the LATTICE (Langues, Textes,...

Designing Publics (Design Thinking, Design Theory)

MIT Press, 2016

An exploration of design considerations in the design of technologies that support local collective action.

Contemporary computing technologies have thoroughly embedded themselves in every aspect of modern lifeâconducting commerce, maintaining and extending our networks of friends, and mobilizing political movements all...

Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)

MIT Press, 2007

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...

Principles of Data Mining (Adaptive Computation and Machine Learning)

MIT Press, 2001

The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...

Fundamental Models in Financial Theory

MIT Press, 2014

This book provides an innovative, integrated, and methodical approach to understanding complex financial models, integrating topics usually presented separately into a comprehensive whole. The book brings together financial models and high-level mathematics, reviewing the mathematical background necessary for understanding these models...

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

MIT Press, 1996

Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...

Burdens of Proof: Cryptographic Culture and Evidence Law in the Age of Electronic Documents

MIT Press, 2012

The gradual disappearance of paper and its familiar evidential qualities affects almost every dimension of contemporary life. From health records to ballots, almost all documents are now digitized at some point of their life cycle, easily copied, altered, and distributed. In Burdens of Proof, Jean-François Blanchette examines...

Bureaucratic Landscapes: Interagency Cooperation and the Preservation of Biodiversity

MIT Press, 2003

Political scientists have long been concerned about the tension between institutional fragmentation and policy coordination in the United States bureaucracy. The literature is rife with examples of agencies competing with each other or asserting their independence, while cooperation is relatively rare. This is of particular importance in...

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

MIT Press, 2005

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...

Internet Architecture and Innovation

MIT Press, 2010

The Internet's remarkable growth has been fueled by innovation. New applications continually enable new ways of using the Internet, and new physical networking technologies increase the range of networks over which the Internet can run. Questions about the relationship between innovation and the Internet's architecture have shaped the...

The AI Business: The Commercial Uses of Artificial Intelligence

MIT Press, 1984

What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best - financiers, researchers, and users - analyze current...

Introduction to Algorithms, Third Edition

MIT Press, 2009

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively...

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