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156
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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 6 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
141
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IDEAL
2010
Springer
15 years 1 months ago
Dimension Reduction for Regression with Bottleneck Neural Networks
Dimension reduction for regression (DRR) deals with the problem of finding for high-dimensional data such low-dimensional representations, which preserve the ability to predict a ...
Elina Parviainen
147
Voted
HM
2007
Springer
180views Optimization» more  HM 2007»
15 years 6 months ago
Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
We present two hybrid Metaheuristics, a hybrid Iterated Local Search and a hybrid Simulated Annealing, for solving real-world extensions of the Vehicle Routing Problem with Time Wi...
Tonci Caric, Juraj Fosin, Ante Galic, Hrvoje Gold,...
124
Voted
CSDA
2011
14 years 9 months ago
Inferences on Weibull parameters with conventional type-I censoring
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum lik...
Avijit Joarder, Hare Krishna, Debasis Kundu
138
Voted
APIN
1998
107views more  APIN 1998»
15 years 2 months ago
Multiple Adaptive Agents for Tactical Driving
Abstract. Recent research in automated highway systems has ranged from low-level vision-based controllers to high-level route-guidance software. However, there is currently no syst...
Rahul Sukthankar, Shumeet Baluja, John Hancock