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ICML
2006
IEEE
16 years 7 months ago
Simpler knowledge-based support vector machines
If appropriately used, prior knowledge can significantly improve the predictive accuracy of learning algorithms or reduce the amount of training data needed. In this paper we intr...
Quoc V. Le, Alex J. Smola, Thomas Gärtner
MCS
2009
Springer
16 years 1 months ago
Selective Ensemble under Regularization Framework
An ensemble is generated by training multiple component learners for a same task and then combining them for predictions. It is known that when lots of trained learners are availab...
Nan Li, Zhi-Hua Zhou
CEC
2008
IEEE
16 years 1 months ago
On the scalability of particle swarm optimisation
— Particle swarm has proven to be competitive to other evolutionary algorithms in the field of optimization, and in many cases enables a faster convergence to the ideal solution...
Sébastien Piccand, Michael O'Neill, Jacquel...
ICASSP
2008
IEEE
16 years 1 months ago
Generalized Improved Spread Spectrum watermarking robust against translation attacks
In this work, we consider the ISS (improved spread spectrum) watermarking [1] framework, and propose a generalized version of it, termed “Generalized Improved Spread Spectrum”...
Neslihan Gerek, Mehmet Kivanç Mihçak
ICASSP
2007
IEEE
16 years 27 days ago
Genomic Network Tomography
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...
Michael G. Rabbat, Mário A. T. Figueiredo, ...