41 search results - page 5 / 9 » Evolving Memory Cell Structures for Sequence Learning |
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
MEMBRANE
2009
Springer
14 years 1 months ago
2009
Springer
em is a computing model, which abstracts from the way the living cells process chemical compounds in their compartmental structure. The regions defined by a membrane structure con...
NN
2007
Springer
13 years 6 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...
JMLR
2002
13 years 7 months ago
2002
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
BMCBI
2010
13 years 7 months ago
2010
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...