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EVOW
2009
Springer
15 years 4 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
15 years 10 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CRV
2011
IEEE
278views Robotics» more  CRV 2011»
13 years 9 months ago
Online Visual Vocabularies
Abstract—The idea of an online visual vocabulary is proposed. In contrast to the accepted strategy of generating vocabularies offline, using the k-means clustering over all the ...
Yogesh A. Girdhar, Gregory Dudek
APSEC
2002
IEEE
15 years 2 months ago
Using Process Simulation to Compare Scheduling Strategies for Software Projects
We present a discrete simulation model for software projects which explicitly takes a scheduling strategy as input. The model represents varying staff skill levels, component coup...
Frank Padberg
65
Voted
EUROCAST
2007
Springer
126views Hardware» more  EUROCAST 2007»
15 years 3 months ago
Determining Orbital Elements of Extrasolar Planets by Evolution Strategies
After the detection of the first extrasolar planet (exoplanet) more than one decade ago we currently know about more than 200 planets around other stars and there are about twenty...
Andreas M. Chwatal, Günther R. Raidl