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ESWA
2006
165views more  ESWA 2006»
13 years 9 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 8 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
INFOCOM
2005
IEEE
14 years 2 months ago
The impact of imperfect scheduling on cross-layer rate control in wireless networks
— In this paper, we study cross-layer design for rate control in multihop wireless networks. In our previous work, we have developed an optimal cross-layered rate control scheme ...
Xiaojun Lin, Ness B. Shroff
NETWORKING
2008
13 years 10 months ago
Traffic Engineering and Routing in IP Networks with Centralized Control
There have been research initiatives in centralized control recently, which advocate that the control of an autonomous system (AS) should be performed in a centralized fashion. In ...
Jing Fu, Peter Sjödin, Gunnar Karlsson