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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 2 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ISBRA
2007
Springer
15 years 7 months ago
Estimating Bacterial Diversity from Environmental DNA: A Maximum Likelihood Approach
The ability to measure bacterial diversity is a prerequisite for the systematic study of bacterial biogeography and ecology. In this paper we describe a method of estimating divers...
Frederick Cohan, Danny Krizanc, Yun Lu
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 6 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
15 years 1 months ago
Stability and stabilization of nonuniform sampling systems
This paper is concerned with nonuniform sampling systems, where the sampling interval is time-varying within a certain known bound. The system is transformed into a time-varying d...
Young Soo Suh
CVIU
2007
152views more  CVIU 2007»
15 years 1 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli