73 search results - page 5 / 15 » Input Window Size and Neural Network Predictors |
137
Voted
ECAI
2004
Springer
15 years 9 months ago
2004
Springer
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
131
Voted
ICONIP
2008
15 years 5 months ago
2008
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
252
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
121
Voted
CATA
2000
15 years 5 months ago
2000
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this ...
138
Voted
TNN
2008
15 years 3 months ago
2008
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...