889 search results - page 46 / 178 » Probabilistic Neural Network Models for Sequential Data |
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We apply Long Short-Term Memory (LSTM) recurrent neural networks to a large corpus of unprompted speech- the German part of the VERBMOBIL corpus. Training first on a fra...
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
ECAI
2004
Springer
14 years 1 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...