INFORMATIVE

作品数：105被引量：53H指数：3
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相关机构：华东政法大学北京大学第一医院大连外国语大学北京大学更多>>
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Truthfully coordinating participation routes in informative participatory sensing
《Science China(Information Sciences)》2021年第12期128-142,共15页Shaofei CHEN Dengji ZHAO Alexandros ZENONOS Jing CHEN Lincheng SHEN 
supported by National Natural Science Foundation of China (Grant Nos. 61702528, 61603403, 61603406)。
Participatory sensing is a promising approach with which people contribute sensory information to form a body of knowledge. In practice, people may have different ways to engage in a participatory sensing campaign. Fo...
关键词：coordinating participation routes informative participatory sensing incentive mechanism computationally efficient 
Matching weak informative ontologies
《Science China(Information Sciences)》2021年第12期246-247,共2页Peng WANG Baowen XU 
supported by National Key R&D Program of China (Grant No. 2018YFD1100302);National Natural Science Foundation of China (Grant No. 61832009);13th Five-Year All-Army Common Information System Equipment Pre-Research Project (Grant Nos. 31514020501, 31514020503)。
Dear editor,Most existing ontology matching methods utilize literal information to discover alignments [1, 2]. However, some literal information in ontologies may be opaque and some ontologies may not have sufficient ...
关键词：EDITOR literal utilize 
Sampling informative context nodes for network embedding
《Science China(Information Sciences)》2021年第11期116-126,共11页Danhao ZHU Xin-Yu DAI Jiajun CHEN Jie YIN 
supported in part by Social Science Foundation of the Jiangsu Higher Education Institutions of China(Grant No.2018SJA0455);National Nature Science Foundation of China(Grant No.61472183);Social Science Foundation of Jiangsu Province(Grant No.19TQD002)。
Several modern network embedding methods learn vector representations from sampled context nodes. The sampling strategies are often carefully designed and controlled by specific parameters that enable them to adapt to...
关键词：network embedding representation learning random walk ENTROPY weighted entropy 
Long-term adaptive informative path planning for scalar field monitoring using cross-entropy optimization被引量：3
《Science China(Information Sciences)》2019年第5期26-28,共3页Yang LI Rongxin CUI Weisheng YAN Demin XU 
supported by National Natural Science Foundation of China (Grant Nos. U1813225, 61472325, 61733014, 51579210);Science, Technology and Innovation Commission of Shenzhen Municipality (Grant No. JCYJ20170817145216803)
Dear editor,Robots are extensively used in various civil and military applications (1, 2)In the last decade, informative path planning (IPP) has been one of the most important research areas in modern robot engineerin...
关键词：LONG-TERM ADAPTIVE INFORMATIVE path planning for scalar field MONITORING using CROSS-ENTROPY OPTIMIZATION exp length 
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