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Titlebook: Discovery Science; 4th International Co Klaus P. Jantke,Ayumi Shinohara Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001

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书目名称Discovery Science
副标题4th International Co
编辑Klaus P. Jantke,Ayumi Shinohara
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Discovery Science; 4th International Co Klaus P. Jantke,Ayumi Shinohara Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2001
描述These are the conference proceedings of the 4th International Conference on Discovery Science (DS 2001). Although discovery is naturally ubiquitous in s- ence, and scientific discovery itself has been subject to scientific investigation for centuries, the term Discovery Science is comparably new. It came up in conn- tion with the Japanese Discovery Science project (cf. Arikawa‘s invited lecture on The Discovery Science Project in Japan in the present volume) some time during the last few years. Setsuo Arikawa is the father in spirit of the Discovery Science conference series. He led the above mentioned project, and he is currently serving as the chairman of the international steering committee for the Discovery Science c- ference series. The other members of this board are currently (in alphabetical order) Klaus P. Jantke, Masahiko Sato, Ayumi Shinohara, Carl H. Smith, and Thomas Zeugmann. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa‘s 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory
出版日期Conference proceedings 2001
关键词Classifier Systems; Computational Learning; Data Analysis; Discovery; Internet Information Retrieval; Mac
版次1
doihttps://doi.org/10.1007/3-540-45650-3
isbn_softcover978-3-540-42956-2
isbn_ebook978-3-540-45650-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2001
The information of publication is updating

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书目名称Discovery Science网络公开度学科排名




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书目名称Discovery Science被引频次学科排名




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书目名称Discovery Science年度引用学科排名




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书目名称Discovery Science读者反馈学科排名




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https://doi.org/10.1007/978-3-322-80251-4idence. The maximum errors of these values can be evaluated by a user-defined parameter. We present an algorithm for constructing a set of non-redundant rules, called an .. The . and . of the basis are theoretically shown. Any significant rule can be reconstructed from the basis and any rule reconst
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https://doi.org/10.1007/978-3-322-80251-4for document retrieval: the vector space model, pseudo-feedback, and latent semantic indexing. Experimental results show that the passagebased method is superior to the conventional methods if long documents have to be retrieved by short queries.
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https://doi.org/10.1007/978-3-322-80251-4ram also generated a complete series of carbon, nitrogen and oxygen burning reactions. The new results of ASTRA lead to interesting details about the origin of the elements between oxygen and sulphur.
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Conference proceedings 2001n. Colleagues and friends from all over the world took the opportunity of me- ing for this conference to celebrate Arikawa‘s 60th birthday and to pay tribute to his manifold contributions to science, in general, and to Learning Theory and Discovery Science, in particular. Algorithmic Learning Theory
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The Discovery Science Project in Japane regarded as a preliminary definition of Discovery Science by enumeration. Thus Discovery Science ranges over philosophy, logic, reasoning, computational learning and system developments. In addition to these five research groups we organized a steering group for planning, adjustment and evaluation
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