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» Evolving a neural network using dyadic connections
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IC
2004
13 years 9 months ago
TOP: A Transport Overlay Protocol for Peer-to-Peer Applications
In the next generation Internet, the network should not only be considered as a communication medium but also as a large source of services which use entails performance, reliabil...
Thierry Rakotoarivelo, Patrick Sénac, Sebas...
NECO
2007
115views more  NECO 2007»
13 years 7 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
ICSE
1999
IEEE-ACM
14 years 1 days ago
A Cooperative Approach to Support Software Deployment Using the Software Dock
Software deployment is an evolving collection of interrelated processes such as release, install, adapt, reconfigure, update, activate, deactivate, remove, and retire. The connect...
Richard S. Hall, Dennis Heimbigner, Alexander L. W...
JMLR
2002
133views more  JMLR 2002»
13 years 7 months ago
Learning Precise Timing with LSTM Recurrent Networks
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...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
BMCBI
2007
110views more  BMCBI 2007»
13 years 7 months ago
Analysis of feedback loops and robustness in network evolution based on Boolean models
Background: Many biological networks such as protein-protein interaction networks, signaling networks, and metabolic networks have topological characteristics of a scale-free degr...
Yung-Keun Kwon, Kwang-Hyun Cho