210 search results - page 16 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
PPSN
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...