140 search results - page 11 / 28 » Perspectives and challenges for recurrent neural network tra... |
NCI
2004
14 years 11 months ago
2004
In this paper we demonstrate that Long Short-Term Memory (LSTM) is a differentiable recurrent neural net (RNN) capable of robustly categorizing timewarped speech data. We measure ...
ICONIP
2004
14 years 11 months ago
2004
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
70
Voted
NIPS
1993
14 years 11 months ago
1993
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
136
Voted
NPL
2011
14 years 13 days ago
2011
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...