192 search results - page 7 / 39 » Boosting in Probabilistic Neural Networks |
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
ICTAI
2009
IEEE
14 years 3 months ago
2009
IEEE
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
JMLR
2010
13 years 3 months ago
2010
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
AI
2002
Springer
13 years 8 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
IJCNN
2007
IEEE
14 years 3 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...