194 search results - page 15 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
218
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ICDE
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
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. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
ICML
2009
IEEE
16 years 16 days ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
126
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JMLR
2006
14 years 11 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...