641 search results - page 29 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
94
Voted
ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
67
Voted
GECCO
1999
Springer
15 years 1 months ago
1999
Springer
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
136
click to vote
ESANN
2000
14 years 11 months ago
2000
Abstract. In this paper, we presen t an algorithm that provides adaptive plasticity in function approximation problems: the deformable (feature) map (DM) algorithm. The DM approach...
NIPS
1992
14 years 11 months ago
1992
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...