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Titlebook: Innovation Policy in a Knowledge-Based Economy; Theory and Practice Patrick Llerena,Mireille Matt Book 2005 Springer-Verlag Berlin Heidelbe

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书目名称Innovation Policy in a Knowledge-Based Economy
副标题Theory and Practice
编辑Patrick Llerena,Mireille Matt
视频video
概述Includes supplementary material:
图书封面Titlebook: Innovation Policy in a Knowledge-Based Economy; Theory and Practice Patrick Llerena,Mireille Matt Book 2005 Springer-Verlag Berlin Heidelbe
描述Patrick Llerena and Mireille Matt BETA, Strasbourg, E-mail: pllerena@coumot. u-strasbg. fr BETA, Strasbourg, E-mail: matt@coumot. u-strasbg. fr 0. 1 Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl­ edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor­ tance of dynamic and systemic approaches to innovation policy. Nelson (1959)^ and Arrow (1962)^ saw innovation and the creation of new knowl­ edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar­ ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified)
出版日期Book 2005
关键词economic systems; evolutionary theory; innovation; innovation policy; innovation systems; learning; organi
版次1
doihttps://doi.org/10.1007/b137610
isbn_softcover978-3-642-06497-5
isbn_ebook978-3-540-26452-1
copyrightSpringer-Verlag Berlin Heidelberg 2005
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Laurent Bach,Mireille Matt WWW and databases; data management algorithms..These volumes also include accepted papers of the 8th International Conference on Data Management in Cloud, Grid and P2P Systems, Globe 2015, hel978-3-319-22848-8978-3-319-22849-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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tical literature regarded the rationale for innovation policies as being to provide solutions to "mar­ ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) 978-3-642-06497-5978-3-540-26452-1
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y enabling subquery rewriting so that filter conditions can be pushed inside and executed at the data store as early as possible. Our approach is validated with two data stores and a representative query that demonstrates the usability of the query language and evaluates the benefits from query opti
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Patrick Llerena,Mireille Matt,Stefania Trentiher, they are more resistant to “anorexic reduction”, requiring substantially larger cost-increase thresholds to achieve this objective. These results suggest that important research challenges remain to be addressed in the development of effective XQuery optimizers.
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Arman Avadikyan,Patrick Cohendet,Olivier Dupouëtcomputation of Query/Key/Value, where . is the length of the input; . is the kernel size; . is the number of dimensions; and . is the length of the non-overlapping part of the input that is usually significantly smaller than .. Therefore, InTrans could greatly improve both training and predicting sp
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