Transactions on Computational Collective Intelligence XIII

Transactions on Computational Collective Intelligence XIII

ISBN-10:
3642544541
ISBN-13:
9783642544545
Pub. Date:
02/07/2014
Publisher:
Springer Berlin Heidelberg
ISBN-10:
3642544541
ISBN-13:
9783642544545
Pub. Date:
02/07/2014
Publisher:
Springer Berlin Heidelberg
Transactions on Computational Collective Intelligence XIII

Transactions on Computational Collective Intelligence XIII

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Overview

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eleventh issue contains 9 carefully selected and thoroughly revised contributions.

Product Details

ISBN-13: 9783642544545
Publisher: Springer Berlin Heidelberg
Publication date: 02/07/2014
Series: Lecture Notes in Computer Science , #8342
Edition description: 2014
Pages: 219
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Recent Advances in DC Programming and DCA.- Nature-Inspired Intelligent Optimisation Using the Bees Algorithm.- Optimisation Problems for Pairwise RNA Sequence and Structure Comparison.- Model Selection for the _2-SVM by Following the Regularization Path.- DC Programming and DCA for Solving Minimum Sum-of-Squares.- Clustering Using Weighted Dissimilarity Measures.- A Validity Criterion for Fuzzy Clustering.- The Web Ontology Rule Language OWL 2 RL+ and Its Extensions.- Validating Generic Metrics of Fairness in Game-Based Resource Allocation Scenarios with Crowdsourced Annotations.- An Efficient Algorithm for Microarray Probes Re-annotation.

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