中国科学院计算技术研究所机构知识库

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发表日期：2018

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	OKRELM: online kernelized and regularized extreme learning machine for wearable-based activity recognition 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 9, 页码: 1577-1590 作者:  Hu, Lisha;  Chen, Yiqiang;  Wang, Jindong;  Hu, Chunyu;  Jiang, Xinlong 收藏  |  浏览/下载：65/0  |  提交时间：2019/12/10 Extreme learning machine  Kernel  Activity recognition  Online learning  Wearable computing
	Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture 期刊论文 ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 2018, 卷号: 44, 期号: 4, 页码: 25 作者:  Tan, Guangming;  Liu, Junhong;  Li, Jiajia 收藏  |  浏览/下载：56/0  |  提交时间：2019/12/10 Sparse matrix vector multiplication  auto-tuning  multicore  machine learning
	FSELM: fusion semi-supervised extreme learning machine for indoor localization with Wi-Fi and Bluetooth fingerprints 期刊论文 SOFT COMPUTING, 2018, 卷号: 22, 期号: 11, 页码: 3621-3635 作者:  Jiang, Xinlong;  Chen, Yiqiang;  Liu, Junfa;  Gu, Yang;  Hu, Lisha 收藏  |  浏览/下载：75/0  |  提交时间：2019/12/10 Fusion semi-supervised learning  Extreme Learning Machine  Indoor localization  Wi-Fi and Bluetooth fingerprints
	Automated and precise event detection method for big data in biomedical imaging with support vector machine 期刊论文 COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2018, 卷号: 33, 期号: 2, 页码: 105-114 作者:  Yuan, Lufeng;  Yao, Erlin;  Tan, Guangming 收藏  |  浏览/下载：48/0  |  提交时间：2019/04/03 Biomedical imaging  event detection  machine learning  support vector machine  big data
	An overview on Restricted Boltzmann Machines 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 1186-1199 作者:  Zhang, Nan;  Ding, Shifei;  Zhang, Jian;  Xue, Yu 收藏  |  浏览/下载：56/0  |  提交时间：2019/12/10 Restricted Boltzmann Machine  Classification  Representational learning  Deep networks
	Less annotation on active learning using confidence-weighted predictions 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 1629-1636 作者:  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Zhang, Yingwei 收藏  |  浏览/下载：39/0  |  提交时间：2019/12/10 Extreme Learning Machine  Online sequential learning  Active learning  Less annotation