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IJON
2000
105views more  IJON 2000»
15 years 4 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
DAC
2008
ACM
16 years 5 months ago
Path smoothing via discrete optimization
A fundamental problem in timing-driven physical synthesis is the reduction of critical paths in a design. In this work, we propose a powerful new technique that moves (and can als...
Michael D. Moffitt, David A. Papa, Zhuo Li, Charle...
BMCBI
2010
120views more  BMCBI 2010»
15 years 4 months ago
Optimal contact definition for reconstruction of Contact Maps
Background: Contact maps have been extensively used as a simplified representation of protein structures. They capture most important features of a protein's fold, being pref...
Jose M. Duarte, Rajagopal Sathyapriya, Henning Ste...
CIKM
2009
Springer
15 years 11 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
TIP
2010
113views more  TIP 2010»
14 years 11 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...