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ICML
2004
IEEE
14 years 8 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 8 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
MICCAI
2005
Springer
14 years 8 months ago
A Fast-Marching Approach to Cardiac Electrophysiology Simulation for XMR Interventional Imaging
Cardiac ablation procedures are becoming more routine to treat arrhythmias. The development of electrophysiological models will allow investigation of treatment strategies. However...
Maxime Sermesant, Yves Coudière, Valé...
SMC
2007
IEEE
132views Control Systems» more  SMC 2007»
14 years 2 months ago
Disaster management model based on Modified Fuzzy Cognitive Maps
-This paper describes the use of a Fuzzy Cognitive Map (FCM) to model disaster reconstruction, based on data collected from the cities of BAM and Baravat. The extended fuzzy cognit...
Sandeep Chandana, Henry Leung, Jason Levy
NIPS
2007
13 years 9 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun