240 search results - page 33 / 48 » On the numerical solution to linear problems using stochasti... |
79
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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
116
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TSP
2010
14 years 4 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
77
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DAC
1997
ACM
15 years 1 months ago
1997
ACM
The “quadratic placement” methodology is rooted in [6] [14] [16] and is reputedly used in many commercial and in-house tools for placement of standard-cell and gate-array desi...
SIAMJO
2008
14 years 9 months ago
2008
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...