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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 3 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
ICCAD
2001
IEEE
106views Hardware» more  ICCAD 2001»
14 years 5 months ago
Model Reduction of Variable-Geometry Interconnects using Variational Spectrally-Weighted Balanced Truncation
- This paper presents a spectrally-weighted balanced truncation technique for RLC interconnects, a technique needed when the interconnect circuit parameters change as a result of v...
Payam Heydari, Massoud Pedram
WIOPT
2010
IEEE
13 years 6 months ago
A stochastic geometry model for the best signal quality in a wireless network
Abstract--In a wireless network composed of randomly scattered nodes, the characterization of the distribution of the best signal quality received from a group of nodes is of prima...
Van Minh Nguyen, François Baccelli
SMA
1995
ACM
217views Solid Modeling» more  SMA 1995»
14 years 15 days ago
Bubble mesh: automated triangular meshing of non-manifold geometry by sphere packing
This paper presents a new computational method for fully automated triangular mesh generation, consistently applicable to wire-frame, surface, solid, and nonmanifold geometries. T...
Kenji Shimada, David C. Gossard
BMCBI
2008
148views more  BMCBI 2008»
13 years 9 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan