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Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2019 Springer Nature Switzerland

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發(fā)表于 2025-3-21 19:38:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Intelligent Computing
副標(biāo)題Proceedings of the 2
編輯Kohei Arai,Supriya Kapoor,Rahul Bhatia
視頻videohttp://file.papertrans.cn/470/469434/469434.mp4
概述Presents state of the art chapters on all aspects of Intelligent Computing.Covers both the theory and applications for latest technologies and methodologies.Proceedings of the Computing Conference 201
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2019 Springer Nature Switzerland
描述This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings..??.Despite computer science’s comparatively brief history as a formal academic discipline, it has made a number of fundamental contributions to science and society—in fact, along with electronics, it is a founding science of the current epoch of human history (‘the Information Age’) and a main driver of the Information Revolution. The goal of this conference is to provide a platform for researchers to present fundamental contributions, and to be a premier venue for academic and industry practitioners to share new ideas and development experiences..??.This book collects state of the art chapters on all aspects of Computer Science, from cl
出版日期Conference proceedings 2019
關(guān)鍵詞Cloud Computing; High Performance Computing; Distributed Computing; Blockchain; Artificial Intelligence;
版次1
doihttps://doi.org/10.1007/978-3-030-01174-1
isbn_softcover978-3-030-01173-4
isbn_ebook978-3-030-01174-1Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Sentiment Analysis System for Roman Urdu,stablished that Na?ve Bayes (NB) and Logistic Regression (LR) performed better than the rest of the classifiers on this task. It was also observed that the overall results were improved after feature reduction.
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Dynamic Control of Explore/Exploit Trade-Off in Bayesian Optimization,n strategy. Our proposed heuristic can be swiftly calculated and improves both the speed and robustness of discovery of optimal solutions. We demonstrate its effectiveness on both synthetic and real world problems and explore the unaccounted for uncertainty in the pre-determination of search hyperparameters controlling explore-exploit trade-off.
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Improved Training for Self Training by Confidence Assessments, and static unlabeled datasets, the suggested approach may be more suitable than others as an online learning method where the classifier keeps getting new unlabeled data. The approach may be also applicable in the recent method of pseudo-gradients for training long sequential neural networks.
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Text Categorization for Authorship Attribution in English Poetry,ce of the bag-of-words representation with that of the stylometric representation including lexical features, such as function words and high frequency words, and found that the bag-of-words representation outperforms the stylometric representation.
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