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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 5 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
15 years 5 months ago
Swarm intelligence in e-learning: a learning object sequencing agent based on competencies
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...
Luis de Marcos, José-Javier Martínez...
AUTOMATICA
2007
72views more  AUTOMATICA 2007»
15 years 4 months ago
A probabilistic analytic center cutting plane method for feasibility of uncertain LMIs
ust control problems can be formulated in abstract form as convex feasibility programs, where one seeks a solution x that satisfies a set of inequalities of the form F . = {f (x,...
Giuseppe C. Calafiore, Fabrizio Dabbene
JMLR
2008
131views more  JMLR 2008»
15 years 4 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 4 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez