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Titlebook: Multiple Classifier Systems; Second International Josef Kittler,Fabio Roli Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 20

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發(fā)表于 2025-3-21 16:38:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Multiple Classifier Systems
副標(biāo)題Second International
編輯Josef Kittler,Fabio Roli
視頻videohttp://file.papertrans.cn/641/640941/640941.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Multiple Classifier Systems; Second International Josef Kittler,Fabio Roli Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 20
描述Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule. This observation has motivated the recent interest in Multiple Classi er Systems , which aim to make use of several designs jointly to obtain a better estimate of the optimal decision boundary and thus improve the system performance. This volume contains the proceedings of the international workshop on Multiple Classi er Systems held at Robinson College,
出版日期Conference proceedings 2001
關(guān)鍵詞Algorithmic Learning; Bagging; Boosting; Classification; Classifier SYstems; Document Analysis; Image ANal
版次1
doihttps://doi.org/10.1007/3-540-48219-9
isbn_softcover978-3-540-42284-6
isbn_ebook978-3-540-48219-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
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發(fā)表于 2025-3-21 21:19:28 | 只看該作者
https://doi.org/10.1007/3-540-48219-9Algorithmic Learning; Bagging; Boosting; Classification; Classifier SYstems; Document Analysis; Image ANal
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發(fā)表于 2025-3-22 00:27:28 | 只看該作者
Josef Kittler,Fabio RoliIncludes supplementary material:
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0302-9743 decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and
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Conference proceedings 2001ltiple Classi er Systems , which aim to make use of several designs jointly to obtain a better estimate of the optimal decision boundary and thus improve the system performance. This volume contains the proceedings of the international workshop on Multiple Classi er Systems held at Robinson College,
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A sketch of analogy as reasoning with equality hypotheses,rce and target objects. We use Theorist‘s specification of hypothetical reasoning to provide us with the required non-deductive mechanism, and interpret similarity relationships as hypotheses about various kinds of equality between source and target objects.
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