87 search results - page 7 / 18 » The regularized least squares algorithm and the problem of l... |
131
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CORR
2010
Springer
15 years 3 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
204
Voted
JMLR
2010
14 years 11 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
149
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TSP
2008
15 years 4 months ago
2008
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
146
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KDD
2010
ACM
15 years 7 months ago
2010
ACM
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
140
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JMLR
2010
14 years 11 months ago
2010
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...