256 search results - page 12 / 52 » Optimal transfer function neural networks |
NN
2007
Springer
13 years 7 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
ICANN
2009
Springer
14 years 14 days ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
FLAIRS
2007
13 years 10 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
TNN
2010
13 years 2 months ago
2010
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...