invigorating
发表于 2025-3-21 17:29:16
书目名称Discovery Science影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0281051<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=BK0281051<br><br> <br><br>书目名称Discovery Science网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0281051<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=BK0281051<br><br> <br><br>书目名称Discovery Science被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0281051<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=BK0281051<br><br> <br><br>书目名称Discovery Science年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0281051<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=BK0281051<br><br> <br><br>书目名称Discovery Science读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0281051<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=BK0281051<br><br> <br><br>
老巫婆
发表于 2025-3-21 22:44:34
Model Tree Ensembles for Modeling Dynamic Systems,ally converted into a classical regression problem, which can then be solved with any nonlinear regression approach. As tree ensembles are a very successful predictive modelling approach, we investigate the use of tree ensembles for regression for this task..While ensembles of regression trees have
Arb853
发表于 2025-3-22 03:07:45
Fast and Scalable Image Retrieval Using Predictive Clustering Trees,ficient and accurate systems for image retrieval. State-of-the-art systems for image retrieval use the bag-of-visual-words representation of the images. However, the computational bottleneck in all such systems is the construction of the visual vocabulary (i.e., how to obtain the visual words). This
Tdd526
发表于 2025-3-22 06:03:47
Avoiding Anomalies in Data Stream Learning, refer to data cleaning as a pre-processing before the learning task. The problem of data cleaning is exacerbated when learning in the computational model of data streams. In this paper we present a streaming algorithm for learning classification rules able to detect contextual anomalies in the data
Freeze
发表于 2025-3-22 09:16:38
Generalizing from Example Clusters,t with the given clusters. This is essentially a semi-supervised clustering problem, but it differs from previously studied semi-supervised clustering settings in significant ways. Earlier work has shown that none of the existing methods for semi-supervised clustering handle this problem well. We id
随意
发表于 2025-3-22 16:18:12
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随意
发表于 2025-3-22 20:25:10
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debouch
发表于 2025-3-23 01:08:42
A New Approach to String Pattern Mining with Approximate Match,ring data analysis on strings such as texts, word sequences, and genome sequences. The problem becomes difficult if the string patterns are allowed to match approximately, i.e., a fixed number of errors leads to an explosion in the number of small solutions, and a fixed ratio of errors violates the
NAVEN
发表于 2025-3-23 04:46:03
OntoDM-KDD: Ontology for Representing the Knowledge Discovery Process,-KDD defines the most essential entities for describing data mining investigations in the context of KD in a two-layered ontological structure. The ontology is aligned and reuses state-of-the-art resources for representing scientific investigations, such as Information Artifact Ontology (IAO) and On
GNAW
发表于 2025-3-23 09:35:14
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