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» Imaginaries in Hilbert spaces
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JMLR
2007
104views more  JMLR 2007»
13 years 7 months ago
Learnability of Gaussians with Flexible Variances
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...
Yiming Ying, Ding-Xuan Zhou
MOC
2000
83views more  MOC 2000»
13 years 7 months ago
Stability and B-convergence properties of multistep Runge-Kutta methods
This paper continues earlier work by the same author concerning the stability and B-convergence properties of multistep Runge-Kutta methods for the numerical solution of nonlinear ...
Shoufu Li
SIAMJO
2008
136views more  SIAMJO 2008»
13 years 7 months ago
Relaxed Alternating Projection Methods
Let A and B be nonempty, convex and closed subsets of a Hilbert space H. In the practical considerations we need to find an element of the intersection A B or, more general, to s...
Andrzej Cegielski, Agnieszka Suchocka
SIAMCO
2010
128views more  SIAMCO 2010»
13 years 6 months ago
A Parallel Splitting Method for Coupled Monotone Inclusions
A parallel splitting method is proposed for solving systems of coupled monotone inclusions in Hilbert spaces, and its convergence is established under the assumption that solutions...
Hedy Attouch, Luis M. Briceño-Arias, Patric...
ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 2 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal