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Titlebook: Challenges for Computational Intelligence; W?odzis?aw Duch,Jacek Mańdziuk Book 2007 Springer-Verlag Berlin Heidelberg 2007 Statistica.arti

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發(fā)表于 2025-3-21 19:00:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Challenges for Computational Intelligence
編輯W?odzis?aw Duch,Jacek Mańdziuk
視頻videohttp://file.papertrans.cn/224/223441/223441.mp4
概述Fascinating book presenting the latest challenges in computational intelligence.Includes various contributions from world leading researchers in computational intelligence
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Challenges for Computational Intelligence;  W?odzis?aw Duch,Jacek Mańdziuk Book 2007 Springer-Verlag Berlin Heidelberg 2007 Statistica.arti
描述.In the year 1900 at the International Congress of Mathematicians in Paris David Hilbert delivered what is now considered the most important talk ever given in the history of mathematics, proposing 23 major problems worth working at in the future. One hundred years later the impact of this talk is still strong: some problems have been solved, new problems have been added, but the direction once set - identify the most important problems and focus on them - is still actual...Computational Intelligence (CI) is used as a name to cover many existing branches of science, with artificial neural networks, fuzzy systems and evolutionary computation forming its core. In recent years CI has been extended by adding many other subdisciplines and it became quite obvious that this new field also requires a series of challenging problems that will give it a sense of direction. Without setting up clear goals and yardsticks to measure progress on the way many research efforts are wasted...The book written by top experts in CI provides such clear directions and the much-needed focus on the most important and challenging research issues, showing a roadmap how to achieve ambitious goals..
出版日期Book 2007
關(guān)鍵詞Statistica; artificial intelligence; behavior; calculus; cognition; combinatorial optimization; computatio
版次1
doihttps://doi.org/10.1007/978-3-540-71984-7
isbn_softcover978-3-642-09116-2
isbn_ebook978-3-540-71984-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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A Trend on Regularization and Model Selection in Statistical Learning: ,,lection featured adaptive algorithms for these tasks. Finally, a trend of studies on model selection (i.e., automatic model selection during parametric learning), has been further elaborated. Moreover, several theoretical issues in a large sample size and a number of challenges in a small sample size have been presented.
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Book 2007 given in the history of mathematics, proposing 23 major problems worth working at in the future. One hundred years later the impact of this talk is still strong: some problems have been solved, new problems have been added, but the direction once set - identify the most important problems and focus
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https://doi.org/10.1007/978-3-540-89185-7t the time intervals between the most notable events in over 40,000 years or 2. lifetimes of human history have sped up exponentially, apparently converging to zero within the next few decades. Or is this impression just a by-product of the way humans allocate memory space to past events?
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https://doi.org/10.1007/978-3-540-89185-7n this article, discussions of issues and challenges in developing cognitive architectures will be undertaken, examples of cognitive architectures will be given, and future directions will be outlined.
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Marco Gori,Marco Maggini,Lorenzo Sartiscratch, multitask learning, unsupervised learning, pattern-based knowledge acquisition) as well as reasoning and decision making (efficient position estimation, abstraction and generalization of game features, autonomous development of evaluation functions, effective preordering of moves and selective, contextual search).
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