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Titlebook: Adaptive Processing of Sequences and Data Structures; International Summer C. Lee Giles,Marco Gori Textbook 1998 Springer-Verlag Berlin Hei

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發(fā)表于 2025-3-21 18:53:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Adaptive Processing of Sequences and Data Structures
期刊簡(jiǎn)稱International Summer
影響因子2023C. Lee Giles,Marco Gori
視頻videohttp://file.papertrans.cn/145/144724/144724.mp4
發(fā)行地址The book originates from a summer school held in September 1997 and is thus ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruct
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Adaptive Processing of Sequences and Data Structures; International Summer C. Lee Giles,Marco Gori Textbook 1998 Springer-Verlag Berlin Hei
影響因子This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks..The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.
Pindex Textbook 1998
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Prüfungstraining für Bankkaufleuteulations required for inference are intractable. Two different approaches for handling this intractability are Monte Carlo methods such as Gibbs sampling, and variational methods. An especially promising variational approach is based on exploiting tractable substructures in the Bayesian network.
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Textbook 1998st to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks..The
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https://doi.org/10.1007/978-3-8349-4729-1tures this problem does not seem to be as serious as for sequences. This is a very important fact which suggests to look at many practical problems, where the decision process involves dynamic inputs, in a different perspective.
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