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131
Voted
TSP
2010
14 years 6 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....
126
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ICML
1999
IEEE
16 years 13 days ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
110
Voted
BIBE
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
109
Voted
CSB
2003
IEEE
15 years 5 months ago
2003
IEEE
As gene order evolves through a variety of chromosomal rearrangements, conserved segments provide important insight into evolutionary relationships and functional roles of genes. ...
119
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INFOCOM
2010
IEEE
14 years 10 months ago
2010
IEEE
— In wireless networks, TCP performs unsatisfactorily since packet reordering and random losses may be falsely interpreted as congestive losses. This causes TCP to trigger fast r...