五个
发表于 2025-3-21 19:21:43
书目名称Discovery Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0281058<br><br> <br><br>书目名称Discovery Science读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0281058<br><br> <br><br>
有危险
发表于 2025-3-21 21:32:51
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Comprise
发表于 2025-3-22 01:30:28
Discovery Science978-3-540-75488-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
archenemy
发表于 2025-3-22 05:19:15
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angina-pectoris
发表于 2025-3-22 11:30:34
A Hilbert Space Embedding for DistributionsWhile kernel methods are the basis of many popular techniques in supervised learning, they are less commonly used in testing, estimation, and analysis of probability distributions, where information theoretic approaches rule the roost. However it becomes difficult to estimate mutual information or entropy if the data are high dimensional.
不可思议
发表于 2025-3-22 15:05:54
Studies in Indian Mathematics and Astronomy The project “Cyber Infrastructure for the Information-explosion Era” is a six-year project from 2005 to 2010 supported by Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan. The project aims to establish the
不可思议
发表于 2025-3-22 19:39:17
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finale
发表于 2025-3-23 00:50:29
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Bumptious
发表于 2025-3-23 04:42:44
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谎言
发表于 2025-3-23 05:41:13
Family Influences on A. E. Garrod’s Thinkingtation, and scaling. While Kuramochi and Karypis (ICDM2002) extensively studied the frequent pattern mining problem for geometric subgraphs, the maximal graph mining has not been considered so far. In this paper, we study the maximal (or closed) graph mining problem for the general class of geometri