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EOR
2002
99views more  EOR 2002»
15 years 2 months ago
Network cost minimization using threshold-based discounting
We present a genetic algorithm for heuristically solving a cost minimization problem applied to communication networks with threshold based discounting. The network model assumes t...
Hrvoje Podnar, Jadranka Skorin-Kapov, Darko Skorin...
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 3 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
IJCNN
2006
IEEE
15 years 9 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
GLVLSI
2009
IEEE
158views VLSI» more  GLVLSI 2009»
15 years 6 months ago
Exploration of memory hierarchy configurations for efficient garbage collection on high-performance embedded systems
Modern embedded devices (e.g., PDAs, mobile phones) are now incorporating Java as a very popular implementation language in their designs. These new embedded systems include multi...
José Manuel Velasco, David Atienza, Katzali...
ASC
2006
15 years 2 months ago
Speeding up the learning of equivalence classes of bayesian network structures
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
Rónán Daly, Qiang Shen, J. Stuart Ai...