890 search results - page 29 / 178 » Learning a Generative Model for Structural Representations |
NN
2007
Springer
13 years 7 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Generative models of pattern individuality attempt to learn the distribution of observed quantitative features to determine the probability of two random patterns being the same. ...
EELC
2006
13 years 11 months ago
2006
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
In this paper we introduce Structured Local Predictors (SLP) – A new formulation that considers the image labelling problem from a structured learning point of view. SLP are loc...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...