76 search results - page 5 / 16 » Hybrid Feedforward Neural Networks for Solving Classificatio... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
SSPR
1998
Springer
13 years 11 months ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
APIN
1999
13 years 7 months ago
1999
Real-world electrical engineering problems can take advantage of the last Data Analysis methodologies. In this paper we will show that Genetic Fuzzy Rule-Based Systems and Genetic ...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...