Discovery science : 10th international conference, DS 2007, Sendai, Japan, October 1-4, 2007 ; proceedings /

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Bibliographic Details
Meeting name:	International Conference on Discovery Science (10th : 2007 : Sendai-shi (Miyagi-ken, Japan))
Imprint:	Berlin ; New York : Springer, ©2007.
Description:	1 online resource (xi, 298 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science, 0302-9743 ; 4755. Lecture notes in artificial intelligence Lecture notes in computer science ; 4755. Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject:	Science -- Philosophy -- Congresses. Discoveries in science -- Congresses. Research -- Automation -- Congresses. Research -- Data processing -- Congresses. Discoveries in science. Research -- Automation. Research -- Data processing. Science -- Philosophy. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11066276

Hidden Bibliographic Details
Varying Form of Title:	DS 2007
Other authors / contributors:	Corruble, Vincent. Takeda, Masayuki. Suzuki, Einoshin.
ISBN:	9783540754886 3540754881 9783540754879 3540754873
Notes:	Includes bibliographical references and index. Print version record.
Summary:	This book constitutes the refereed proceedings of the 10th International Conference on Discovery Science, DS 2007, held in Sendai, Japan, in October 2007, co-located with the 18th International Conference on Algorithmic Learning Theory, ALT 2007. The 17 revised long papers and the 10 revised regular papers presented together with 5 invited papers were carefully reviewed and selected from 55 submissions. The papers cover all issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientifi.
Other form:	Print version: International Conference on Discovery Science (10th : 2007 : Sendai-shi (Miyagi-ken, Japan)). Discovery science. Berlin ; New York : Springer, ©2007 9783540754879 3540754873
Standard no.:	10.1007/978-3-540-75488-6

Table of Contents:

Front Matter; Challenge for Info-plosion; Machine Learning in Ecosystem Informatics; Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity; A Hilbert Space Embedding for Distributions; Time and Space Efficient Discovery of Maximal Geometric Graphs; Iterative Reordering of Rules for Building Ensembles Without Relearning; On Approximating Minimum Infrequent and Maximum Frequent Sets; A Partially Dynamic Clustering Algorithm for Data Insertion and Removal; Positivism Against Constructivism: A Network Game to Learn Epistemology.

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