JIRS
2008
13 years 11 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
ICANN
2010
Springer
13 years 11 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
FLAIRS
2000
14 years 25 days ago
2000
In this note we present and discuss results of experiments comparing the performance of six neural network architectures (back propagation, recurrent network with dampened feedbac...
IDEAL
2003
Springer
14 years 4 months ago
2003
Springer
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
IEAAIE
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
ICPR
2004
IEEE
15 years 17 days ago
2004
IEEE
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
ICIP
1994
IEEE
15 years 27 days ago
1994
IEEE
ICIP
2004
IEEE
15 years 1 months ago
2004
IEEE
Video retrieval in consumer applications demands high level semantic descriptors such as people's identity. The problem is that in a variety of videos such as home videos, Ho...