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Titlebook: The Informational Complexity of Learning; Perspectives on Neur Partha Niyogi Book 1998 Springer Science+Business Media New York 1998 artifi

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發(fā)表于 2025-3-21 18:02:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱The Informational Complexity of Learning
副標(biāo)題Perspectives on Neur
編輯Partha Niyogi
視頻videohttp://file.papertrans.cn/913/912038/912038.mp4
圖書封面Titlebook: The Informational Complexity of Learning; Perspectives on Neur Partha Niyogi Book 1998 Springer Science+Business Media New York 1998 artifi
描述Among other topics, .The Informational Complexity ofLearning:. .Perspectives on Neural Networks and GenerativeGrammar. brings together two important but very different learningproblems within the same analytical framework. The first concerns theproblem of learning functional mappings using neural networks,followed by learning natural language grammars in the principles andparameters tradition of Chomsky. .These two learning problems are seemingly very different. Neuralnetworks are real-valued, infinite-dimensional, continuous mappings.On the other hand, grammars are boolean-valued, finite-dimensional,discrete (symbolic) mappings. Furthermore the research communitiesthat work in the two areas almost never overlap. .The book‘s objective is to bridge this gap. It uses the formaltechniques developed in statistical learning theory and theoreticalcomputer science over the last decade to analyze both kinds oflearning problems. By asking the same question - how muchinformation does it take to learn? - of both problems, ithighlights their similarities and differences. Specific resultsinclude model selection in neural networks, active learning, languagelearning and evolutionary models of lan
出版日期Book 1998
關(guān)鍵詞artificial intelligence; cognitive science; complexity; evolution; grammar; grammars; information; intellig
版次1
doihttps://doi.org/10.1007/978-1-4615-5459-2
isbn_softcover978-1-4613-7493-0
isbn_ebook978-1-4615-5459-2
copyrightSpringer Science+Business Media New York 1998
The information of publication is updating

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Book 1998ut very different learningproblems within the same analytical framework. The first concerns theproblem of learning functional mappings using neural networks,followed by learning natural language grammars in the principles andparameters tradition of Chomsky. .These two learning problems are seemingly
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Monica’s Voice: Developing Designer Professional Identityining insight through reflection to maintain momentum and deliver meaningful outcomes. As design education becomes more closely aligned with these principles, the development and understanding of the role of the designer is viewed as an intricate component of design. Much of my academic research on
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https://doi.org/10.5822/978-1-61091-948-7entific community to understand and anticipate its spread. Since AIDS is expected to place enormous demand on healthcare facilities, there is a pressing need to develop flexible prediction models. These are an integral part of long-range scientific research and are equivalent to the hypotheses to be
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