255 search results - page 15 / 51 » Distributed sparse linear regression |
HPCC
2007
Springer
14 years 1 months ago
2007
Springer
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...
NIPS
2004
13 years 11 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
PPSN
2010
Springer
13 years 8 months ago
2010
Springer
In the paper we propose a new evolutionary algorithm for induction of univariate regression trees that associate leaves with simple linear regression models. In contrast to typical...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
—We address the problem of estimating a random vector X from two sets of measurements Y and Z, such that the estimator is linear in Y . We show that the partially linear minimum ...