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111
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ICCAD
1997
IEEE
112views Hardware» more  ICCAD 1997»
15 years 7 months ago
Circuit optimization via adjoint Lagrangians
The circuit tuning problem is best approached by means of gradient-based nonlinear optimization algorithms. For large circuits, gradient computation can be the bottleneck in the o...
Andrew R. Conn, Ruud A. Haring, Chandramouli Viswe...
115
Voted
ML
2010
ACM
119views Machine Learning» more  ML 2010»
15 years 1 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
149
Voted
CGO
2011
IEEE
14 years 6 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
130
Voted
BMCBI
2005
93views more  BMCBI 2005»
15 years 2 months ago
Multiple sequence alignment accuracy and evolutionary distance estimation
Background: Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pai...
Michael S. Rosenberg
ICASSP
2011
IEEE
14 years 6 months ago
A segmentation method for textured images based on the maximum posterior mode criterion
We consider the problem of semi-supervised segmentation of textured images. Recently, reweighted belief propagation has been introduced as a solution for Bayesian inference with r...
Frédéric Lehmann