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ACL
2006
14 years 11 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
126
Voted
CORR
2011
Springer
220views Education» more  CORR 2011»
14 years 4 months ago
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (glo...
Thomas Schoenemann, Simon Masnou, Daniel Cremers
ISDA
2008
IEEE
15 years 3 months ago
Genetic Annealing Optimization: Design and Real World Applications
Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
99
Voted
EWC
2010
178views more  EWC 2010»
14 years 6 months ago
Design of tensegrity structures using parametric analysis and stochastic search
Tensegrity structures are lightweight structures composed of cables in tension and struts in compression. Since tensegrity systems exhibit geometrically nonlinear behavior, findin...
Landolf Rhode-Barbarigos, Himanshu Jain, Prakash K...
155
Voted
GIS
2007
ACM
15 years 10 months ago
Spatial and temporal analysis of pedestrian egress behavior and efficiency
This research reports on exploring analytical methodologies for spatio-temporal data of pedestrian egress dynamics in a crowded environment. The research objective is to spatially...
Atsushi Nara, Paul M. Torrens