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» Boosting in Probabilistic Neural Networks
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ESANN
2003
13 years 10 months ago
Ensemble of hybrid networks with strong regularization
Abstract. We study various ensemble methods for hybrid neural networks. The hybrid networks are composed of radial and projection units and are trained using a deterministic algori...
Shimon Cohen, Nathan Intrator
ICPR
2008
IEEE
14 years 10 months ago
A probabilistic Self-Organizing Map for facial recognition
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
Christophe Garcia, Grégoire Lefebvre
ICANN
2005
Springer
14 years 2 months ago
A Neural Network for Text Representation
Text categorization and retrieval tasks are often based on a good representation of textual data. Departing from the classical vector space model, several probabilistic models have...
Mikaela Keller, Samy Bengio
ICANN
2011
Springer
13 years 6 days ago
Probabilistic Proactive Timeline Browser
We have developed a browser suitable for finding events from timelines, in particular from life logs and other timelines containing a familiar narrative. The system infers the rel...
Antti Ajanki, Samuel Kaski
INTERSPEECH
2010
13 years 3 months ago
Hierarchical bottle neck features for LVCSR
This paper investigates the combination of different neural network topologies for probabilistic feature extraction. On one hand, a five-layer neural network used in bottle neck f...
Christian Plahl, Ralf Schlüter, Hermann Ney