554 search results - page 111 / 111 » Variable selection using neural-network models |
RTAS
2011
IEEE
12 years 11 months ago
2011
IEEE
Abstract—Home area networks (HANs) promise to enable sophisticated home automation applications such as smart energy usage and assisted living. However, recent empirical study of...
HPCA
2009
IEEE
14 years 8 months ago
2009
IEEE
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
ASPLOS
2008
ACM
13 years 9 months ago
2008
ACM
The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately, writing correct concurrent programs is difficult. Addressing this challenge requires adva...
TSP
2010
13 years 2 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....