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» The GLOBAL optimization method revisited
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ATAL
2009
Springer
14 years 2 months ago
Analyzing the performance of randomized information sharing
In large, collaborative, heterogeneous teams, team members often collect information that is useful to other members of the team. Recognizing the utility of such information and d...
Prasanna Velagapudi, Oleg A. Prokopyev, Katia P. S...
ECML
2007
Springer
14 years 1 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
ICCV
2005
IEEE
14 years 1 months ago
Learning Effective Image Metrics from Few Pairwise Examples
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
14 years 1 months ago
Improving GA search reliability using maximal hyper-rectangle analysis
In Genetic algorithms it is not easy to evaluate the confidence level in whether a GA run may have missed a complete area of good points, and whether the global optimum was found....
Chongshan Zhang, Khaled Rasheed
ASPDAC
2000
ACM
159views Hardware» more  ASPDAC 2000»
14 years 1 days ago
Analytical minimization of half-perimeter wirelength
Global placement of hypergraphs is critical in the top-down placement of large timing-driven designs 10, 16 . Placement quality is evaluated in terms of the half-perimeter wirelen...
Andrew A. Kennings, Igor L. Markov