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This volume comprises contributions from different disciplines (cognitive psychology, linguistics, computer science, neuroscience) concerned with the generation of natural speech. It summarizes the outcome of a six-year long priority program funded by the German Research Foundation (DFG) that aimed at bringing together colleagues with different viewpoints but sharing a principal interest in the cognitive processes underlying language production. The result is a state-of-the-art discussion of one of the most fascinating branches of human behavior taking into account a particularly rich multidisciplinary empirical data base.
As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, the complexities of parallel algorithm design, the deficiencies of the available software development tools and the complexity of scheduling tasks over thousands and even millions of processing nodes represent a major challenge to the construction and use of more powerful parallel systems. This book presents the proceedings of the biennial International Co...
Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
The International Review of Sign Linguistics -- which replaces the International Journal of Sign Linguistics -- is planned as an annual series publishing the most up-to-date scholarly work in all aspects of sign language linguistics. There is no other comparable publication. The international community of sign linguists needs an authoritative outlet for its research findings. IRSL provides this forum for sign linguists, and for those mainstream linguists increasingly interested in sign languages, by filling the void in linguistic analysis of sign language -- as opposed to other concerns, such as deaf education, teaching sign languages, training interpreters, etc. -- and by pulling together i...
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This illustrated study of Renaissance Nuremberg explores the city’s social and artistic history through the sixteenth century and beyond. The German city of Nuremberg reached the height of its artistic brilliance during the Renaissance, becoming one of the foremost cultural centers in all of Europe by 1500. Nuremberg was the home of painter Albrecht Dürer, whose creative genius inspired generations of German artists. However, Dürer was only one of a host of extraordinary painters, printmakers, sculptors, and goldsmiths working in the city. Following a map of the city’s principal landmarks, Guy Fitch Lytle provides a compact historical background for Jeffrey Chipps Smith's detailed disc...