愤慨点吧
发表于 2025-3-23 10:56:22
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Foam-Cells
发表于 2025-3-23 17:36:36
The Two Faces of Active Learningt. The idea is to query the labels of just a few points that are especially informative about the decision boundary, and thereby to obtain an accurate classifier at significantly lower cost than regular supervised learning.
袖章
发表于 2025-3-23 20:01:51
Inference and Learning in Planningerence techniques and transformations. In this invited talk, I’ll review the inference techniques used for solving individual planning instances from scratch, and discuss the use of learning methods and transformations for obtaining more general solutions.
说笑
发表于 2025-3-23 22:45:09
Mining Heterogeneous Information Networks by Exploring the Power of Linksplore the crucial information hidden in links will be introduced, including (1) . for object distinction analysis, (2) . for veracity analysis, (3) . for online analytical processing of information networks, and (4) . for integrated ranking-based clustering. We also discuss some of our on-going studies in this direction.
外形
发表于 2025-3-24 04:39:32
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热心助人
发表于 2025-3-24 10:21:55
978-3-642-04413-7Springer-Verlag Berlin Heidelberg 2009
修正案
发表于 2025-3-24 14:17:03
Algorithmic Learning Theory978-3-642-04414-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
容易生皱纹
发表于 2025-3-24 18:36:04
https://doi.org/10.1007/978-3-658-18929-7ech signals from microphone recordings, and so on) but costly to obtain their labels. Like supervised learning, the goal is ultimately to learn a classifier. But like unsupervised learning, the data come unlabeled. More precisely, the labels are hidden, and each of them can be revealed only at a cos
平
发表于 2025-3-24 20:00:52
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GUEER
发表于 2025-3-25 02:37:29
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