New PDF release: Artificial Neural Networks - ICANN 2008: 18th International

By Anton Andrejko, Mária Bieliková (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.)

ISBN-10: 3540875581

ISBN-13: 9783540875581

ISBN-10: 354087559X

ISBN-13: 9783540875598

This quantity set LNCS 5163 and LNCS 5164 constitutes the refereed court cases of the 18th foreign convention on man made Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008.

The 2 hundred revised complete papers awarded have been conscientiously reviewed and chosen from greater than three hundred submissions. the second one quantity is dedicated to trend acceptance and knowledge research, and embedded platforms, computational neuroscience, connectionistic cognitive technological know-how, neuroinformatics and neural dynamics. it additionally comprises papers from distinctive periods coupling, synchronies, and firing styles: from cognition to illness, and optimistic neural networks and workshops new tendencies in self-organization and optimization of man-made neural networks, and adaptive mechanisms of the perception-action cycle.

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Read Online or Download Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II PDF

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Extra info for Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II

Example text

Ontology-based user modeling for web-based inf. systems. In: Advances in Information Systems Development New Methods and Practice for the Networked Society, vol. 2, pp. 457–468. Springer, Heidelberg (2007) 13. : Estimation of user characteristics using rule-based analysis of user logs. In: Data Mining for User Modeling Proceedings of Workshop held at the International Conference on User Modeling UM 2007, pp. pt Centro de Ciˆencias Matem´aticas - CCM and Departamento de Matem´atica e Engenharias, Un.

4 4 A. Andrejko and M. Bielikov´ a Method for Ontology Instances Similarity Evaluation In the Semantic Web applications documents or their parts are represented by ontological concepts. A concept describes a set of real objects [10]. Concepts can be ordered in a hierarchy. Instances of concepts reflect objects from real world. An example of an instance representing a job offer is depicted in Fig. 1. jo:Text jo:Text jo:minAmount jo:max Amou nt on :b jo us jo:Text ... Fig. 1. Example of an instance representing a part of job offer.

Classification and Regression Trees. Wadsworth International Group, Belmont (1984) 9. : Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence (2005) 10. : On the use of variable complementarity for feature selection in cancer classification. , Takagi, H. ) EvoWorkshops 2006. LNCS, vol. 3907, pp. 91–102. Springer, Heidelberg (2006) 11. : Bias plus variance decomposition for zero-one loss functions.

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Artificial Neural Networks - ICANN 2008: 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II by Anton Andrejko, Mária Bieliková (auth.), Véra Kůrková, Roman Neruda, Jan Koutník (eds.)


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