231 search results - page 32 / 47 » Using Neural Nets to Estimate Evolutionary Parameters |
NECO
2007
13 years 8 months ago
2007
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
BMCBI
2008
13 years 8 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we sea...
ESANN
2003
13 years 9 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...