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CEC
2005
IEEE
14 years 12 months ago
DynDE: a differential evolution for dynamic optimization problems
Abstract- This paper presents an approach of using Differential Evolution (DE) to solve dynamic optimization problems. Careful setting of parameters is necessary for DE algorithms ...
Rui Mendes, Arvind S. Mohais
ICANN
2005
Springer
15 years 3 months ago
Training of Support Vector Machines with Mahalanobis Kernels
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
Shigeo Abe
ICPR
2008
IEEE
15 years 11 months ago
A new objective function for sequence labeling
We propose a new loss function for discriminative learning of Markov random fields, which is an intermediate loss function between the sequential loss and the pointwise loss. We s...
Hisashi Kashima, Yuta Tsuboi
EUROGP
2005
Springer
123views Optimization» more  EUROGP 2005»
15 years 3 months ago
An Algorithmic Chemistry for Genetic Programming
Abstract. Genetic Programming has been slow at realizing other programming paradigms than conventional, deterministic, sequential vonNeumann type algorithms. In this contribution w...
Christian Lasarczyk, Wolfgang Banzhaf
ALT
2009
Springer
15 years 2 months ago
The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses
In this paper the sequential prediction problem with expert advice is considered for the case when the losses of experts suffered at each step can be unbounded. We present some mo...
Vladimir V. V'yugin