14 search results - page 1 / 3 » A Two Phase Deep Learning Model for Identifying Discriminati... |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
NN
2007
Springer
13 years 4 months ago
2007
Springer
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
TASLP
2008
13 years 4 months ago
2008
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
AIM
2005
13 years 4 months ago
2005
Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
NIPS
2007
13 years 6 months ago
2007
Traditional analysis methods for single-trial classification of electroencephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the ...