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ICML
2010
IEEE
15 years 24 days ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
COR
2010
121views more  COR 2010»
14 years 12 months ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
ICML
2006
IEEE
16 years 16 days ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICNP
2006
IEEE
15 years 5 months ago
Reducing Congestion Effects in Wireless Networks by Multipath Routing
Abstract—We propose a solution to improve fairness and increase throughput in wireless networks with location information. Our approach consists of a multipath routing protocol, ...
Lucian Popa 0002, Costin Raiciu, Ion Stoica, David...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 5 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...