In this paper, we attempt to bridge the gap between practice and theory of semi-supervised learning. We develop a rigorous framework for analyzing the ...
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In this paper, we attempt to bridge the gap between the practice and theory of semi-supervised learning. We develop a finite sample analysis that characterizes ...
A finite sample analysis is developed that characterizes the value of un-labeled data and quantifies the performance improvement of SSL compared to ...
Dec 8, 2008 · In this paper, we attempt to bridge the gap between the practice and theory of semi-supervised learning. We develop a finite sample analysis ...
Connectedness is almost as good as knowing the decision sets: Lemma: if |γ| > Cm−1/d, then for all pairs x1,x2 not in a small tube.
Apr 21, 2015 · Unlabeled Data: Now It Helps, Now It Doesn't. A. Singh, R. D. Nowak, and X. Zhu. In NIPS, 2008. 1. Mark Andrew Ward and Max Kuang. Courant ...
Jan 21, 2021 · Bibliographic details on Unlabeled data: Now it helps, now it doesn't.
Aug 12, 2016 · Suppose you have a dataset, and you have decent understanding on the variables in the data. Now you dont have any labels per se, so what you do ...
Jun 14, 2016 · We have a set of, say, 10K labeled images (two classes), and an unlabeled set that is maybe 10X larger (or even 100X, doesn't really matter for
Dec 28, 2016 · Then try if the unlabeled data helps. Supervised. From your labeled data: create a training, validation and test set. Don't touch the test set ...