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Introduction to Machine Learning (Adaptive Computation and Machine Learning)

MIT Press, 2004

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...

Cracked Media: The Sound of Malfunction

MIT Press, 2009

In a small warehouse gallery space in the center of Sydney a noise turntablist, Lucas Abela, stands over a stack of vinyl that is bolted to the rotary device of an industrial sewing machine. Instead of spinning the records at 33 or 45 revolutions per minute this “turntable” spins the records at up to 2,850 revolutions per minute. The...

2D Object Detection and Recognition: Models, Algorithms, and Networks

MIT Press, 2002

This book is about detecting and recognizing 2D objects in gray-level images. Howare
models constructed? Howare they trained? What are the computational approaches to
efficient implementation on a computer? And finally, how can some of these computations
be implemented in the framework of parallel and biologically plausible neural...

Digital Citizenship: The Internet, Society, and Participation

MIT Press, 2007

Just as education has promoted democracy and economic growth, the Internet has the potential to benefit society as a whole. Digital citizenship, or the ability to participate in society online, promotes social inclusion. But statistics show that significant segments of the population are still excluded from digital citizenship.

The...

The Elements of Computing Systems: Building a Modern Computer from First Principles

MIT Press, 2005

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other...

Cognitive Search: Evolution, Algorithms, and the Brain (Strüngmann Forum Reports)

MIT Press, 2012

Over a century ago, William James proposed that people search through memory much as they rummage through a house looking for lost keys. We scour our environments for territory, food, mates, and information. We search for items in visual scenes, for historical facts, and for the best deals on Internet sites; we search for new friends to add...

Japan's Great Stagnation: Financial and Monetary Policy Lessons for Advanced Economies

MIT Press, 2006

After experiencing spectacular economic growth and industrial development for much of the postwar era, Japan plunged abruptly into recession in the early 1990s and since then has suffered a prolonged period of economic stagnation, from which it is only now emerging. Japan's malaise, marked by recession or weak economic activity, commodity and asset...

Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization

MIT Press, 2000

Optimizing compilers have a fundamental problem. No matter how powerful their optimizations
are, they are no substitute for good application algorithms. Consider the case of
sorting. For sufficiently large data sets, a merge sort algorithm compiled with a less powerful
optimizer will always out-perform a selection sort algorithm...

Financial Structure and Economic Growth: A Cross-Country Comparison of Banks, Markets, and Development

MIT Press, 2001

This is the first broad cross-country assessment of the ties between financial structure -- the mix of financial instruments, institutions, and markets in a given economy -- and economic growth since Raymond Goldsmith's 1969 landmark study. Most studies focus on developed countries and compare bank-based and market-based systems. Debates over the...

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...

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...

Semi-Supervised Learning (Adaptive Computation and Machine Learning)

MIT Press, 2006

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...

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