63 search results - page 1 / 13 » K-component recurrent neural network language models using c... |
GECCO
2005
Springer
13 years 10 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...
IROS
2009
IEEE
13 years 11 months ago
2009
IEEE
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
INTERSPEECH
2010
12 years 11 months ago
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results indicate that it is possible to obtain around 50% reduct...
AGI
2011
12 years 8 months ago
2011
Human intelligence consists largely of the ability to recognize and exploit structural systematicity in the world, relating our senses simultaneously to each other and to our cogni...