"1531-3468."The economic importance of innovative activity brings with it an active debate on the effect of public policy on the innovation process. This annual series, sponsored by the National Bureau of Economic Research, brings the work of leading academic researchers to the broader policy community, presenting papers that demonstrate the role that economic theory and empirical analysis can …
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…
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…
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…
AnnotationOCLC-licensed vendor bibliographic record.
"A Bradford book."OCLC-licensed vendor bibliographic record.
This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to swi…