In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…
"A Bradford book."Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DN…
The essays in this collection celebrate Ken Hale's lifelong study of underdocumented languages and their implications for universal grammar. The authors report their latest research in syntax, morphology, semantics, phonology, and phonetics.ContributorsElena Anagnostopoulou, Noam Chomsky, Michel DeGraff, Kai von Fintel, Morris Halle, James Harris, Sabine Iatridou, Roumyana Izvorski, Michael Ken…
Experts on the Japanese economy examine Japan's prolonged period of economic underperformance, analyzing the ways in which the financial system, monetary policy, and international financial factors contributed to its onset and duration.OCLC-licensed vendor bibliographic record.
OCLC-licensed vendor bibliographic record.
This revelatory study is the most unexpected and vital piece of Le Corbusier scholarship to appear in years. Adolf Max Vogt looks to the early, formative years of the architect's life as a key to understanding his mature practice, taking aim at such fundamental riddles as "Where did his design vocabulary come from?" and "How was his aesthetic sense formed?"Vogt's investigation of LC's early lif…
This long-awaited two-volume book examines how the interplay of ideas and actions applied to environmental problems has laid the foundations for global environmental management. It looks at how ideas, interests, and institutions affect management practice; how management capabilities in other areas affect the ability to deal with specific environmental issues; and how learning affects society's…
These original essays summarize a decade of fruitful research and curriculum development using the LISP-derived language Logo. They discuss a range of issues in the areas of curriculum, learning, and mathematics, illustrating the ways in which Logo continues to provide a rich learning environment, one that allows pupil autonomy within challenging mathematical settings.Essays in the first sectio…
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…
"A Bradford book."It is the first detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behavior to a complex, changing environment; such systems include mobile robots, factory process controllers, and long-term software databases.Learning to perform complex action strategies is an important problem in the fields of artif…