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AUSAI
2009
Springer
13 years 11 months ago
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems
Regressions has successfully been incorporated into memetic algorithm (MA) to build surrogate models for the objective or constraint landscape of optimization problems. This helps ...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
DEDS
2010
130views more  DEDS 2010»
13 years 8 months ago
Message Batching in Wireless Sensor Networks - A Perturbation Analysis Approach
Abstract-- We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We f...
Xu Ning, Christos G. Cassandras
CVPR
2003
IEEE
14 years 10 months ago
Optimal Linear Representations of Images for Object Recognition
Although linear representations are frequently used in image analysis, their performances are seldom optimal in specific applications. This paper proposes a stochastic gradient al...
Xiuwen Liu, Anuj Srivastava, Kyle Gallivan
NIPS
1990
13 years 9 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
GLVLSI
1998
IEEE
129views VLSI» more  GLVLSI 1998»
14 years 9 days ago
Stochastic Evolution Algorithm For Technology Mapping
A new technology mapper SELF-Map for LookUp Table LUT based Field Programmable Gate Arrays FPGAs is described. SELF-Map is based on the Stochastic Evolution SE algorithm. The stat...
Ahmad S. Al-Mulhem, Alaaeldin Amin, Habib Youssef