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Titlebook: Computational Collective IntelligenceTechnologies and Applications; Third International Piotr J?drzejowicz,Ngoc Thanh Nguyen,Kiem Hoang Co

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發(fā)表于 2025-3-21 20:08:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Computational Collective IntelligenceTechnologies and Applications
副標(biāo)題Third International
編輯Piotr J?drzejowicz,Ngoc Thanh Nguyen,Kiem Hoang
視頻videohttp://file.papertrans.cn/233/232194/232194.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Collective IntelligenceTechnologies and Applications; Third International  Piotr J?drzejowicz,Ngoc Thanh Nguyen,Kiem Hoang Co
描述The two-volume set LNAI 6922 and LNAI 6923 constitutes the refereed proceedings of the Third International Conference on Computational Collective Intelligence, ICCCI 2011, held in Gdynia, Poland, in September 2011.The 112 papers in this two volume set presented together with 3 keynote speeches were carefully reviewed and selected from 300 submissions. The papers are organized in topical sections on knowledge management, machine learning and applications, autonomous and collective decision-making, collective computations and optimization, Web services and semantic Web, social networks and computational swarm intelligence and applications.
出版日期Conference proceedings 2011
關(guān)鍵詞knowledge management; multi-agent systems; ontology; service oriented architecture; simulation and model
版次1
doihttps://doi.org/10.1007/978-3-642-23935-9
isbn_softcover978-3-642-23934-2
isbn_ebook978-3-642-23935-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
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Assessments of chemical mixturesion (PSO), Ant Colony System (ACS), Stochastic Diffusion Search (SDS), Bacteria Foraging (BF), the Artificial Bee Colony (ABC), and so on. Besides the applications to conventional optimization problems, SI can be used in controlling robots and unmanned vehicles, predicting social behaviors, enhancin
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Descriptors of the chemical structuresimization approach based on an evolutionary approach. The model is designed for big and complex datasets. First, the data is clustered in a hierarchical way and then using different level of cluster and random choice of training vectors several MLP networks are trained. At the test phase, each netwo
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Polymeric Hydrocarbons with Pendant Groups,l as mining of data streams, web, and software bugs. Although several efficient techniques for generating frequent itemsets with a minimum support (frequency) have been proposed, the number of itemsets produced is in many cases too large for effective usage in real-life applications. Indeed, the pro
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Organising Civil Society by Setting Rules,atures and several classifiers. The study is focused on how features’ selection affects classifier efficiency with special attention given to random forests. Different construction methods of decision trees are considered. Others classifiers (k nearest neighbors, decision trees and classifier with M
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Phenomenal Aspects of the Self,terion for Fuzzy C-means. It also presents experimental results concerning them..As other validity indices, solution presented in this paper may be used when a need for assessing of clustering or fuzzy clustering result adequacy arises. Most common example of such situation is when clustering algori
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