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Titlebook: Artificial Intelligence Applications in Information and Communication Technologies; Yacine Laalaoui,Nizar Bouguila Book 2015 Springer Inte

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發(fā)表于 2025-3-21 16:59:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence Applications in Information and Communication Technologies
影響因子2023Yacine Laalaoui,Nizar Bouguila
視頻videohttp://file.papertrans.cn/163/162119/162119.mp4
發(fā)行地址Recent research on Information and Communication Technologies.Presents applications of Artificial Intelligence.Written by experts in the field.Includes supplementary material:
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Artificial Intelligence Applications in Information and Communication Technologies;  Yacine Laalaoui,Nizar Bouguila Book 2015 Springer Inte
影響因子.This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems. The main aim of this book is to help Information and Communication Technologies (ICT) practitioners in managing efficiently their platforms using AI tools and methods and to provide them with sufficient Artificial Intelligence background to deal with real-life problems. .?.
Pindex Book 2015
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Hybrid ACO and Tabu Search for Large Scale Information Retrievalretrieval on large-scale data sets. The main hard issue of this study resides in modeling information retrieval using meta-heuristics that often necessitate links between documents in order to realize move operations from one document to another during the search process. The first novelty in this w
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On the Application of Artificial Intelligence Techniques to Create Network Intelligenceity, energy management, network monitoring, among others. Several Artificial Intelligence tools can be applied to address many of current ICT challenges. This chapter describes the practical application of Artificial Intelligence (AI) techniques in two main classes of problems: AI for the Internet o
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A Fully Bayesian Framework for Positive Data Clusteringstributions provide a flexible and convenient class of models for density estimation and their statistical learning has been studied extensively. In this context, fully Bayesian approaches have been widely adopted for mixture estimation and model selection problems and have shown some effectiveness
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Applying Information Extraction for Abstracting and Automating CLI-Based Configuration of Network Deogies (ICT) field. Despite numerous standardization efforts, network administrators continue to rely on Command-Line Interfaces (CLIs) to modify and control the configuration of network devices. Nevertheless, network administrators must deal with the complexities that derive from this practice. On o
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