解放
发表于 2025-3-21 16:59:56
书目名称Discovery Science影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0281049<br><br> <br><br>书目名称Discovery Science读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0281049<br><br> <br><br>
Repetitions
发表于 2025-3-22 00:13:03
Measuring Scientific Reasoning Competenciesbasis of the node links. We propose a regression inference procedure that is based on a co-training approach according to separate model trees are learned from both attribute values of labeled nodes and attribute values aggregated in the neighborhood of labeled nodes, respectively. Each model tree i
伙伴
发表于 2025-3-22 01:20:55
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就职
发表于 2025-3-22 06:13:59
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Cholagogue
发表于 2025-3-22 10:56:20
Modeling the Student in Sherlock II on all data sets. We show that a substantial improvement in performance is obtained using an ensemble of MICCLLR classifiers trained using different base learners. We also show that an extra gain in classification accuracy is obtained by applying AdaBoost.M1 to weak MICCLLR classifiers. Overall, ou
设施
发表于 2025-3-22 16:38:56
Formal Approaches to Student Modelling global model adaptation. The adaptation strategy consists of building a new tree whenever a change is suspected in the region and replacing the old ones when the new trees become more accurate. This enables smooth and granular adaptation of the global model. The results from the empirical evaluatio
设施
发表于 2025-3-22 20:18:48
Farideh Salili,Chi Yue Chiu,Ying Yi Hongstage density-based clustering for the .-partite graph constructed from the 1st-stage density-based clustering result for each timestamp network. For a given data set, CHRONICLE finds all clusters in a fixed time by using a fixed amount of memory, regardless of the number of clusters and the length
Terminal
发表于 2025-3-23 00:53:25
The Culture and Context of Learning logical and relational space we introduce a low dimensional embedding method. The technique is amenable to skewed/non-skewed class distribution where multi-class problems such as protein fold recognition are generally characterized by highly uneven class distribution. We performed a series of exper
Microaneurysm
发表于 2025-3-23 03:05:52
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OUTRE
发表于 2025-3-23 06:45:44
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