363 search results - page 32 / 73 » Portfolio selection using neural networks |
ICAISC
2010
Springer
14 years 15 days ago
2010
Springer
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
NPL
2006
13 years 7 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
One of the biggest challenges in emotional speech resynthesis is the selection of modification parameters that will make humans perceive a targeted emotion. The best selection me...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
FLAIRS
2004
13 years 9 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...