433 search results - page 72 / 87 » On speaker adaptive training of artificial neural networks |
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
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Voted
PPSN
1990
Springer
15 years 1 months ago
1990
Springer
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
FLAIRS
2006
14 years 11 months ago
2006
The main contribution of this paper is to suggest a novel technique for automatic creation of accurate ensembles. The technique proposed, named GEMS, first trains a large number o...
AAAI
2004
14 years 11 months ago
2004
This paper presents a new boosting (arcing) algorithm called POCA, Parallel Online Continuous Arcing. Unlike traditional boosting algorithms (such as Arc-x4 and Adaboost), that co...