30 search results - page 5 / 6 » Overfitting and Neural Networks: Conjugate Gradient and Back... |
CVPR
1997
IEEE
14 years 7 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
MVA
2007
13 years 6 months ago
2007
This paper presents a recognition method for human behavior identification based on motion history image theory. The motion history image has the advantage that it can record the ...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
AMC
2007
13 years 5 months ago
2007
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...