4 search results - page 1 / 1 » Distributed Lasso for in-network linear regression |
TSP
2010
12 years 11 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....
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
MCS
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
TASLP
2010
12 years 11 months ago
2010
Reproducing a sampled sound field using an array of loudspeakers is a problem with well-appreciated applications to acoustics and ultrasound treatment. Loudspeaker signal design ha...