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Titlebook: Recent Advances in Information and Communication Technology 2015; Herwig Unger,Phayung Meesad,Sirapat Boonkrong Conference proceedings 201

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發(fā)表于 2025-3-21 18:43:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Recent Advances in Information and Communication Technology 2015
編輯Herwig Unger,Phayung Meesad,Sirapat Boonkrong
視頻videohttp://file.papertrans.cn/823/822781/822781.mp4
概述Recent Advances in Information and Communication Technology.Proceedings of the 11th International Conference on Computing and Information Technology (IC2IT) held 2nd - 3rd July 2015 in Bangkok, Thaila
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Recent Advances in Information and Communication Technology 2015;  Herwig Unger,Phayung Meesad,Sirapat Boonkrong Conference proceedings 201
描述.This book presents recent research work and results in the area of communication.and information technologies. The book includes the main results of the 11th International.Conference on Computing and Information Technology (IC2IT) held during July.2nd-3rd, 2015 in Bangkok, Thailand. The book is divided into the two main parts Data.Mining and Machine Learning as well as Data Network and Communications..New algorithms and methods of data mining asr discussed as well as innovative.applications and state-of-the-art technologies on data mining, machine learning and.data networking..
出版日期Conference proceedings 2015
關鍵詞Communication Technology; Computer Networking and Data Mining; Data Mining and Machine Learning; Data N
版次1
doihttps://doi.org/10.1007/978-3-319-19024-2
isbn_softcover978-3-319-19023-5
isbn_ebook978-3-319-19024-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Statistical Feature Fusion for Sassanian Coin Classification,pectrum in both column and row directions is used and an entry-wise matrix norm calculates the distance between two feature matrices so as to classify coins. Extensive experiments are conducted on a database of Sassanian coins in order to compare the performance of proposed method with the other fea
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Preliminary Experiments with Ensembles of Neurally Diverse Artificial Neural Networks for Pattern Rtive results on the Iris data set. It also capable of obtaining competitive results with 20 ensemble members of relatively small networks on other popular data sets such as the Diabetes, Sonar, Hepatitis, and Australian Credit Card problems. In addition to that, it is shown that these results can be
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st intellectual thrills of modern physics. Nevertheless, considered luxuries, they are usu- ally squeezed out of the graduate curriculum by the pressure of specialization. Special relativity escapes this tag with a ven- geance, and tends to be taught as a pure service discipline, with too little emphasis on i978-1-4757-1135-6
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