71 search results - page 7 / 15 » A Neural Model for Context-dependent Sequence Learning |
DAGSTUHL
2009
13 years 8 months ago
2009
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
ICANN
2005
Springer
14 years 27 days ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...
IAT
2008
IEEE
13 years 7 months ago
2008
IEEE
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...