STRI
发表于 2025-3-21 19:17:54
书目名称Machine Learning and Knowledge Discovery in Databases. Research Track影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620544<br><br> <br><br>书目名称Machine Learning and Knowledge Discovery in Databases. Research Track读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620544<br><br> <br><br>
光滑
发表于 2025-3-21 20:55:35
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620544.jpg
SLAY
发表于 2025-3-22 02:44:18
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CRUE
发表于 2025-3-22 06:44:56
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SPURN
发表于 2025-3-22 11:36:00
Fast Redescription Mining Using Locality-Sensitive Hashing we present new algorithms that perform the matching and extension orders of magnitude faster than the existing approaches. Our algorithms are based on locality-sensitive hashing with a tailored approach to handle the discretisation of numerical attributes as used in redescription mining.
predict
发表于 2025-3-22 16:31:46
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figure
发表于 2025-3-22 17:19:46
Conference proceedings 2024scovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024... ..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:. The 202 full papers presented here, from this track, were carefully reviewed and selected from 826 su
LAIR
发表于 2025-3-22 23:49:06
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emulsify
发表于 2025-3-23 02:47:54
Model-Based Reinforcement Learning with Multi-task Offline Pretrainingsferring the task-agnostic knowledge of physical dynamics to facilitate world model training, and (ii) learning to replay relevant source actions to guide the target policy. We demonstrate the advantages of our approach compared with the state-of-the-art methods in Meta-World and DeepMind Control Suite.
LIMN
发表于 2025-3-23 05:47:30
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