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ESANN
2004
15 years 8 months ago
HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems
We compare the use of two Markovian models, HMMs and IOHMMs, to discriminate between three mental tasks for brain computer interface systems using an asynchronous protocol. We show...
Silvia Chiappa, Nicolas Donckers, Samy Bengio, Fr&...
ESANN
2006
15 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
ESANN
2003
15 years 8 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
NAACL
2004
15 years 8 months ago
Exponential Priors for Maximum Entropy Models
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
Joshua Goodman
RIVF
2003
15 years 8 months ago
Adaptable Fault Tolerance Requirements on Component Models
—Our work aims to provide adaptable fault tolerance for component-based systems through frameworks. In order to implement this approach, the underlying component model must fulï¬...
Phuong-Quynh Duong, Elizabeth Pérez Cort&ea...