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Titlebook: Optimization and Learning; 4th International Co Bernabé Dorronsoro,Lionel Amodeo,Patricia Ruiz Conference proceedings 2021 Springer Nature

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發(fā)表于 2025-3-21 16:52:46 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Optimization and Learning
副標(biāo)題4th International Co
編輯Bernabé Dorronsoro,Lionel Amodeo,Patricia Ruiz
視頻videohttp://file.papertrans.cn/704/703220/703220.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: Optimization and Learning; 4th International Co Bernabé Dorronsoro,Lionel Amodeo,Patricia Ruiz Conference proceedings 2021 Springer Nature
描述This volume constitutes the refereed proceedings of the 4th International Conference on?Optimization and Learning, OLA 2021, held in Catania, Italy, in? June?2021. Due to the COVID-19 pandemic the conference was held online.?.The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on ?synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; combinatorial optimization; communication systems; computer hardware; computer
版次1
doihttps://doi.org/10.1007/978-3-030-85672-4
isbn_softcover978-3-030-85671-7
isbn_ebook978-3-030-85672-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書(shū)目名稱Optimization and Learning影響因子(影響力)




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A Hybrid Approach for Data-Based Models Using a Least-Squares Regression tank. The experiments indicate that the hybrid approach leads to better forecasting results, especially for modeling more complicated behavior. Also, it is investigated if the behavior of the models is qualitatively realistic and we find that the battery model fulfills this requirement and is thus
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A Bayesian Optimisation Approach for?Multidimensional Knapsack Problemperiments are carried out on the widely used benchmark instances with up?to 100 items and 30 knapsack constraints. The preliminary results demonstrate the effectiveness of the proposed solution approach.
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Guiding Representation Learning in Deep Generative Models with Policy Gradientsow that using pre-trained representations can lead to policies being unable to learn any rewarding behaviour in these environments. Subsequently, we introduce two types of models which overcome this deficiency by using policy gradients to learn the representation. Thereby the models are able to embe
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An Exploratory Analysis on a Disinformation Datasethe classes. We also propose a new Corpus in Portuguese containing 19446 news, classified as true and false, and 15 linguistic features extracted from this dataset. Finally, we propose to use two classification models using the Random Forest techniques, with and without intruders. In the end, the mod
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c retinopathy? If so, how do these lead to vision impairment?? Is diabetic retinopathy a response to systemic metabolic abnormalities or are there unique ocular problems related to insulin resistance? What is the relationship between the neural, vascular, and inflammatory abnormalities in diabetic r
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