Given a weighted graph with N vertices, consider a real-valued regression problem in a semi- supervised setting, where one observes n labeled vertices, and the ...
Mar 2, 2016 · Abstract. Given a weighted graph with N vertices, consider a real-valued regression problem in a semi-supervised setting, where one observes ...
Mar 2, 2016 · We present a theoretical study of \ell_p-based Laplacian regularization under a d-dimensional geometric random graph model. We provide a ...
Missing: ℓp- | Show results with:ℓp-
A theoretical study of lp-based Laplacian regularization under a d-dimensional geometric random graph model, which shows that the effect of the underlying ...
based Laplacian regularization in semi-supervised learning
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Sep 9, 2016 · We present a theoretical study of $\ell_p$-based Laplacian regularization under a $d$-dimensional geometric random graph model. We provide a ...
It is shown that the effect of the underlying density vanishes monotonically with $p, such that in the limit $p = \infty$, corresponding to the so-called ...
Missing: ℓp- | Show results with:ℓp-
We investigate asymptotic behavior when the number of unlabeled points increases, while the number of training points remains fixed. We uncover a delicate ...
We investigate asymptotic behavior when the number of unlabeled points increases while the number of training points remains fixed. A delicate interplay between ...
This paper addresses theory and applications of ℓ p -based Laplacian regularization in semi-supervised learning. The graph p-Laplacian for p > 2 has been ...
We investigate asymptotic behavior in the limit where the number of unlabeled points increases while the number of training points remains fixed. We uncover a ...
Missing: ℓp- | Show results with:ℓp-