75 search results - page 9 / 15 » Generative Incremental Dependency Parsing with Neural Networ... |
JCNS
2007
13 years 7 months ago
2007
Brain signals such as local field potentials often display gamma-band oscillations (30–70 Hz) in a variety of cognitive tasks. These oscillatory activities possibly reflect sy...
NIPS
1997
13 years 9 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
EMS
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents rough sets generating prediction rules scheme for stock price movement. The scheme was able to extract knowledge in the form of rules from daily stock movement...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
AADEBUG
1997
Springer
13 years 11 months ago
1997
Springer
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...