1106 search results - page 6 / 222 » On regularization algorithms in learning theory |
111
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JMLR
2010
14 years 6 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
116
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SIAMJO
2010
14 years 6 months ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
106
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MM
2009
ACM
15 years 6 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...
NIPS
2003
15 years 1 months ago
2003
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...