標(biāo)題: Titlebook: Artificial Intelligence Applications in Information and Communication Technologies; Yacine Laalaoui,Nizar Bouguila Book 2015 Springer Inte [打印本頁] 作者: 分期 時(shí)間: 2025-3-21 16:59
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書目名稱Artificial Intelligence Applications in Information and Communication Technologies網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence Applications in Information and Communication Technologies被引頻次
書目名稱Artificial Intelligence Applications in Information and Communication Technologies被引頻次學(xué)科排名
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書目名稱Artificial Intelligence Applications in Information and Communication Technologies讀者反饋
書目名稱Artificial Intelligence Applications in Information and Communication Technologies讀者反饋學(xué)科排名
作者: adipose-tissue 時(shí)間: 2025-3-21 22:51
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作者: 吃掉 時(shí)間: 2025-3-22 04:25 作者: Mammal 時(shí)間: 2025-3-22 05:00
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作者: Herd-Immunity 時(shí)間: 2025-3-22 10:47
A Statistical Framework for Mental Targets Search Using Mixture Modelsmany cases, a given user does not possess the adequate tools and semantics to express what he/she is looking for, thus, his/her target image resides in his/her mind while he/she can visually identify it. We propose in this work, a statistical framework that enables users to start a search process an作者: 不確定 時(shí)間: 2025-3-22 15:55 作者: 祖?zhèn)?nbsp; 時(shí)間: 2025-3-22 20:10
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 作者: 刪除 時(shí)間: 2025-3-23 00:42
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作者: 敘述 時(shí)間: 2025-3-23 03:30
MKMSIS: A Multi-agent Knowledge Management System for Industrial Sustainabilitylity in a long-term approach. This is a necessary strategic approach, as customers are becoming more committed to buying products that consider environmental concerns and additional regulations need to be followed. However, traditional marketing and distribution methods, management tools and the hom作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-23 07:03 作者: PAGAN 時(shí)間: 2025-3-23 12:08
1860-949X ld.Includes supplementary material: .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 bo作者: 分貝 時(shí)間: 2025-3-23 17:30
Benjamin D. Wright,A. Jackson Stennercomparison purposes. Experiments were conducted on CACM, RCV1 and random benchmarks. Numerical results show that ACO is scalable while achieving the same performance as the traditional IR process in terms of solutions quality.作者: paroxysm 時(shí)間: 2025-3-23 21:04 作者: 美麗的寫 時(shí)間: 2025-3-23 23:44 作者: avulsion 時(shí)間: 2025-3-24 06:24
Agustín Vicente,Fernando Martínez-Manriqueneously with model selection and parameters estimation in one single algorithm. The merits of RJMCMC for GID mixture learning is investigated using synthetic data and a real interesting application namely object detection.作者: 嘮叨 時(shí)間: 2025-3-24 07:18
Hybrid ACO and Tabu Search for Large Scale Information Retrievalcomparison purposes. Experiments were conducted on CACM, RCV1 and random benchmarks. Numerical results show that ACO is scalable while achieving the same performance as the traditional IR process in terms of solutions quality.作者: 令人發(fā)膩 時(shí)間: 2025-3-24 10:48
On the Application of Artificial Intelligence Techniques to Create Network Intelligence together with the main experimental results. This chapter will demonstrate various benefits achieved from adding an intelligent layer to ICT solutions, in various domains. Finally, we will also address future developments.作者: 領(lǐng)導(dǎo)權(quán) 時(shí)間: 2025-3-24 16:12
A Statistical Framework for Mental Targets Search Using Mixture Modelsantify the similarities between images. We run experiments including real users and we present a case study of a search process that gives promising results in terms of number of iterations needed to find the mental target classes within a given dataset.作者: d-limonene 時(shí)間: 2025-3-24 19:19 作者: anchor 時(shí)間: 2025-3-25 02:59
Variational Learning of Finite Inverted Dirichlet Mixture Models and ApplicationsDirichlet mixture which provides a natural way of clustering positive data. An EM-style algorithm is developed based upen variational inference for learning the parameters of the mixture model. The proposed statistical framework is applied to the challenging tasks of natural scene categorization and human activity classification.作者: diskitis 時(shí)間: 2025-3-25 05:41
1860-949X ok 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. .?.978-3-319-36526-8978-3-319-19833-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 標(biāo)準(zhǔn) 時(shí)間: 2025-3-25 10:34 作者: 巨大沒有 時(shí)間: 2025-3-25 14:23
Prologue: The Correspondence PrincipleDirichlet mixture which provides a natural way of clustering positive data. An EM-style algorithm is developed based upen variational inference for learning the parameters of the mixture model. The proposed statistical framework is applied to the challenging tasks of natural scene categorization and human activity classification.作者: 天氣 時(shí)間: 2025-3-25 17:55 作者: 別炫耀 時(shí)間: 2025-3-25 22:44 作者: 愛得痛了 時(shí)間: 2025-3-26 02:58 作者: 異端邪說下 時(shí)間: 2025-3-26 04:44 作者: Colonnade 時(shí)間: 2025-3-26 12:29
A Formal Treatment of Case Studiesmany cases, a given user does not possess the adequate tools and semantics to express what he/she is looking for, thus, his/her target image resides in his/her mind while he/she can visually identify it. We propose in this work, a statistical framework that enables users to start a search process an作者: dyspareunia 時(shí)間: 2025-3-26 14:37
Prologue: The Correspondence Principlech suite of models and techniques. In particular, finite mixture models have received a lot of attention by offering a formal approach to unsupervised learning which allows to discover the latent structure expressed in observed data. In this chapter, we propose a mixture model based on the inverted 作者: 山間窄路 時(shí)間: 2025-3-26 18:57
Agustín Vicente,Fernando Martínez-Manriquestributions 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 作者: 無意 時(shí)間: 2025-3-26 23:07 作者: Intentional 時(shí)間: 2025-3-27 05:01
S. Gelbart,I. Piatetski-Shapirolity in a long-term approach. This is a necessary strategic approach, as customers are becoming more committed to buying products that consider environmental concerns and additional regulations need to be followed. However, traditional marketing and distribution methods, management tools and the hom作者: 不透明 時(shí)間: 2025-3-27 08:58
https://doi.org/10.1007/978-3-319-19833-0Artificial Intelligence; Artificial Intelligence Applications; Computational Intelligence; ICT; Informat作者: Tailor 時(shí)間: 2025-3-27 13:03
978-3-319-36526-8Springer International Publishing Switzerland 2015作者: 忘恩負(fù)義的人 時(shí)間: 2025-3-27 15:39
Artificial Intelligence Applications in Information and Communication Technologies978-3-319-19833-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 表主動(dòng) 時(shí)間: 2025-3-27 20:42
A Formal Treatment of Case Studies connections to advance resources management in virtual environment. To optimize resources allocation in Applications Services Provider’s data-centers, we propose a combinatorial optimization look to the problem. First, we describe the corresponding integer mathematical model. Then, we use the IBM CPLEX solver to solve to optimally this problem.作者: 舉止粗野的人 時(shí)間: 2025-3-27 23:13 作者: 存在主義 時(shí)間: 2025-3-28 02:52
Studies in Computational Intelligencehttp://image.papertrans.cn/b/image/162119.jpg作者: 考得 時(shí)間: 2025-3-28 08:07 作者: 虛情假意 時(shí)間: 2025-3-28 11:26 作者: ERUPT 時(shí)間: 2025-3-28 16:49 作者: 完成才能戰(zhàn)勝 時(shí)間: 2025-3-28 19:39 作者: 種屬關(guān)系 時(shí)間: 2025-3-29 02:11
