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检索条件"机构=Laboratory of Machine Learning and Optimization"
24 条 记 录,以下是11-20 订阅
排序:
The Spatial-Temporal Evolution and Influencing Factors of Public Attention to 5G: Empirical Analysis Based on Baidu Index from 2011 to 2021
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Mathematical Problems in Engineering 2023年 第1期2023卷
作者: Liu, Pan Wang, Guanyu Liu, Kai Li, Junke Chen, Yanlin School of Information Engineering Suqian University Jiangsu Suqian223800 China School of Computer and Information Qiannan Normal University for Nationalities Guizhou Duyun558000 China Key Laboratory of Machine Learning and Unstructured Data Processing of Qiannan Guizhou Duyun558000 China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun558000 China
The development of 5G (fifth-generation wireless systems) determines the future direction of technology and economy and has received extensive public attention. Studying the changing rules of public attention to 5G ca... 详细信息
来源: 评论
Robust Barron-Loss Tucker Tensor Decomposition
TechRxiv
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TechRxiv 2021年
作者: Mozaffari, Mahsa Markopoulos, Panos P. Department of Electrical and Microelectronic Engineering Machine Learning Optimization and Signal Processing Laboratory Rochester Institute of Technology RochesterNY14623 United States
Tucker decomposition is a standard method for the analysis of high-order tensor data. Standard Tucker decomposition generalizes singular-value decomposition and is formulated as minimization of the L2-norm of the low-... 详细信息
来源: 评论
Analysis of the Research Status of Information Technology Education Literature in China and Abroad
Analysis of the Research Status of Information Technology Ed...
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IEEE International Conference on High Performance Computing and Communications (HPCC)
作者: Yulin Zhao Kai Liu Junke Li School of Computer and Information Qiannan Normal University for Nationalities Duyun China Key Laboratory of Machine learning and Unstructured Data Processing of Qiannan Duyun China School of Information Engineering Suqian University Suqian Jiangsu China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Duyun China Jiangsu Province Engineering Research Center of Smart Poultry Farming and Intelligent Equipment Jiangsu China
Information technology education contributes to the development of national education. Understanding the research status of information technology education at home and abroad is helpful to the implementation of educa... 详细信息
来源: 评论
Lung Ultrasound for the Detection of Pulmonary Tuberculosis Using Expert- and AI-Guided Interpretation: A Prospective Cohort Study
SSRN
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SSRN 2025年
作者: Suttels, Véronique Brokowski, Trevor Wachinou, Ablo Prudence Wolleb, Julia Hada, Aboudou Rasisou Du Toit, Jacques Daniel Fiogbé, Arnauld Attannon Guendehou, Brice Alovokpinhou, Frederic Sefou, Fadyl Makpemikpa, Ginette Bessat, Cécile Roux, Alexia Garcia, Elena Brahier, Thomas Opota, Onya Doenz, Jonathan Vignoud, Julien Agodokpessi, Gildas Affolabi, Dissou Hartley, Mary-Anne Boillat-Blanco, Noémie Department of Medicine Infectious Diseases Lausanne University Hospital University of Lausanne Lausanne Switzerland Yale School of Medicine Department of Biomedical Informatics & Data Science New HavenCT06510 United States Cotonou Benin Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa Emergency Department Lausanne University Hospital University of Lausanne Lausanne1011 Switzerland Institute of Microbiology University of Lausanne University Hospital Centre Lausanne Switzerland Lausanne1015 Switzerland National Reference Laboratory for Mycobacteriology Cotonou Benin Yale University United States Faculty of Health Sciences Benin Intelligent Global Health Machine Learning and Optimization Laboratory
Background: Point-of-care lung ultrasound (LUS) is a promising tool for portable sputum-free tuberculosis (TB) triage. We investigate the diagnostic performance of LUS to detect TB using expert and artificial intellig... 详细信息
来源: 评论
Simple unsupervised keyphrase extraction using sentence embeddings  22
Simple unsupervised keyphrase extraction using sentence embe...
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22nd Conference on Computational Natural Language learning, CoNLL 2018
作者: Bennani-Smires, Kamil Musat, Claudiu Hossmann, Andreaa Baeriswyl, Michael Jaggi, Martin Data Analytics and AI Swisscom AG Switzerland Machine Learning and Optimization Laboratory EPFL Switzerland
Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Supervised keyphrase extraction requires large amounts of labeled training data and gen... 详细信息
来源: 评论
Sparsified SGD with memory  18
Sparsified SGD with memory
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Proceedings of the 32nd International Conference on Neural Information Processing Systems
作者: Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi Machine Learning and Optimization Laboratory (MLO) EPFL Switzerland
Huge scale machine learning problems are nowadays tackled by distributed optimization algorithms, i.e. algorithms that leverage the compute power of many devices for training. The communication overhead is a key bottl...
来源: 评论
Simple unsupervised keyphrase extraction using sentence embeddings
arXiv
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arXiv 2018年
作者: Bennani-Smires, Kamil Musat, Claudiu Hossmann, Andreaa Baeriswyl, Michael Jaggi, Martin Data Analytics & AI Swisscom AG Machine Learning and Optimization Laboratory EPFL
Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Supervised keyphrase extraction requires large amounts of labeled training data and gen... 详细信息
来源: 评论
Gene locations may contribute to predicting gene regulatory relationships
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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2018年 第1期19卷 25-37页
作者: Jun MENG Wen-yuan XU Xiao CHEN Tao LIN Xiao-yu DENG Department of System Science and Engineering School of Electrical Engineering Zhejiang University Laboratory of Machine Learning and Optimization école Polytechnique Fédérale de Lausanne (EPFL)
We propose that locations of genes on chromosomes can contribute to the prediction of gene regulatory relationships. We constructed a time-based gene regulatory network of zebrafish cardiogenesis on the basis of a spa... 详细信息
来源: 评论
Fast and accurate uncertainty estimation in chemical machine learning
arXiv
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arXiv 2018年
作者: Musil, Felix Willatt, Michael J. Langovoy, Mikhail A. Ceriotti, Michele Laboratory of Computational Science and Modeling IMX École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Machine Learning & Optimization Laboratory IC École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland
We present a scheme to obtain an inexpensive and reliable estimate of the uncertainty associated with the predictions of a machine-learning model of atomic and molecular properties. The scheme is based on resampling, ... 详细信息
来源: 评论
Safe adaptive importance sampling
arXiv
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arXiv 2017年
作者: Stich, Sebastian U. Raj, Anant Jaggi, Martin EPFL Machine Learning and Optimization Laboratory Max Planck Institute for Intelligent Systems
Importance sampling has become an indispensable strategy to speed up optimization algorithms for large-scale applications. Improved adaptive variants-using importance values defined by the complete gradient informatio... 详细信息
来源: 评论