120 search results - page 22 / 24 » A Recurrent Neural Network that Learns to Count |
AR
2007
14 years 9 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
TNN
1998
14 years 9 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
IDA
1998
Springer
14 years 9 months ago
1998
Springer
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual informa...
GECCO
1999
Springer
15 years 1 months ago
1999
Springer
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...