2182 search results - page 60 / 437 » A Robust Algorithm for Solving Nonlinear Programming Problem... |
EOR
2007
13 years 7 months ago
2007
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...
WSC
2008
13 years 10 months ago
2008
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
ICML
2004
IEEE
14 years 1 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
JMLR
2010
13 years 2 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...