ELIGIBILITY

作品数:85被引量:112H指数:6
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相关作者:付兆君熊巍崔丽徐先荣施斌斌更多>>
相关机构:空军总医院空军航空医学研究所解放军第四五四医院中国民航飞行学院更多>>
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AI Inventions: The Best Mode Requirement, Is It up for Redefinition, Minimizing Potential Innovation Bias and Optimizing Visual Aids?
《Intelligent Information Management》2022年第6期202-219,共18页Serge Rebouillat 
From the author, there are not less than a dozen of rather significant recent publications in scientific editions anticipating some aspects of importance to innovation such as “bigger data”, AI, IP, and frontier tec...
关键词:AT Frontier Technologies AI Intellectual Property IP Emotional Intelligence EI Ethics Open Innovation Frugal Reverse BIAS INNOVATION Collaborative Participative Adjacent Technology Analysis ATA© Biotechnology Advanced Materials IoT FRAND Best Mode Requirements ELIGIBILITY Sui Generis 
The eligibility criteria,training content,and scope of practice for prescriptive authority for midwives:a modified Delphi study被引量:3
《Frontiers of Nursing》2019年第3期191-201,共11页Shi-Fan Han Hong-Xia Ren Xiu-Juan Wang Xiao-Ding Yue Si-Yu Dou 
project was supported by the Shanxi Province Soft Science Research Program in China(No.2017041041-1)
Objective:To investigate the necessary eligibility criteria for prescriptive authority for midwives,gather suggestions from experts on training content for prescriptive authority for midwives,and explore the scope of ...
关键词:Delphi study MIDWIFE ELIGIBILITY criteria training content circumstances SCOPE of practice prescriptive AUTHORITY PRESCRIPTION forms 
Chaos identification based on CMAC with replacing eligibility learning
《重庆邮电大学学报(自然科学版)》2009年第2期300-304,共5页SUN Yan-zhong 
In the conventional CMAC learning scheme, the correcting amounts of errors are equally distributed into all addressed weight, regardless the temporal credibility of those weights. In order to solve the temporal credit...
关键词:CMAC神经网络 学习计划 资格 混沌识别 分配问题 概念设计 强化学习 学习方法 
Steganography in binary image by checking data-carrying eligibility of boundary pixels被引量:6
《Journal of Shanghai University(English Edition)》2007年第3期272-277,共6页梁光岚 王朔中 张新鹏 
Project supported by the National Natural Science Foundation of China (Grant Nos.60372090, 60502039), and the Key Project of Shanghai Municipality for Basic Research (Grant No.04JC14037)
We present a novel scheme for embedding secret data into a binary image without introducing noticeable artifacts. Unlike some block-based methods, the proposed scheme encodes the secret bits directly into boundary pix...
关键词:binary image STEGANOGRAPHY embedding eligibility boundary pixel. 
Multi-agent reinforcement learning with cooperation based on eligibility traces
《Journal of Harbin Institute of Technology(New Series)》2004年第5期564-568,共5页杨玉君 程君实 陈佳品 
SponsoredbytheNationalNaturalScienceFoundationofChina(GrantNo .698890 50 ) .
The application of reinforcement learning is widely used by multi-agent systems in recent years. An agent uses a multi-agent system to cooperate with other agents to accomplish the given task, and one agent′s behavio...
关键词:reinforcement learning MULTI-AGENT BEHAVIOR eligibility trace 
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