无节奏
发表于 2025-3-30 12:15:54
When is Undersampling Effective in Unbalanced Classification Tasks? learning of the classifier. Though this seems to work for the majority of cases, no detailed analysis exists about the impact of undersampling on the accuracy of the final classifier. This paper aims to fill this gap by proposing an integrated analysis of the two elements which have the largest imp
UNT
发表于 2025-3-30 15:41:31
A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisonsween the data items. The additional constraints are meant to reflect side-information that is not expressed in the feature vectors, directly. Relative comparisons can express structures at finer level of detail than must-link (ML) and cannot-link (CL) constraints that are commonly used for semi-supe
杠杆支点
发表于 2025-3-30 18:35:47
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结束
发表于 2025-3-31 00:46:04
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不可思议
发表于 2025-3-31 03:51:52
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山羊
发表于 2025-3-31 07:03:24
978-3-319-23527-1Springer International Publishing Switzerland 2015
goodwill
发表于 2025-3-31 09:29:11
Machine Learning and Knowledge Discovery in Databases978-3-319-23528-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
龙卷风
发表于 2025-3-31 13:57:11
Annalisa Appice,Pedro Pereira Rodrigues,Alípio JorIncludes supplementary material:
impaction
发表于 2025-3-31 18:59:52
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620513.jpg
legitimate
发表于 2025-4-1 00:09:00
https://doi.org/10.1007/978-3-319-23528-8data mining; foundations of machine learning and data mining; knowledge discovery in databases; probabi