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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 7 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
DAC
2002
ACM
14 years 6 months ago
ILP-based engineering change
We have developed a generic integer linear programming(ILP)based engineering change(EC) methodology. The EC methodology has three components: enabling, fast, and preserving. Enabl...
Farinaz Koushanfar, Jennifer L. Wong, Jessica Feng...
ESANN
2004
13 years 6 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 11 months ago
Parameter estimation with expected and residual-at-risk criteria
In this paper we study a class of uncertain linear estimation problems in which the data are affected by random uncertainty. In this setting, we consider two estimation criteria,...
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El G...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 5 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich