Sciweavers

CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
13 years 7 months ago
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements
The ensemble Kalman filter for data assimilation involves the propagation of a collection of ensemble members. Under the assumption of time-sparse measurements, we avoid propagatin...
In Sung Kim, Bruno Otávio Soares Teixeira, ...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 11 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard