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NECO
2007
115views more  NECO 2007»
13 years 8 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...
IDA
2010
Springer
13 years 7 months ago
Selecting the Links in BisoNets Generated from Document Collections
According to Koestler, the notion of a bisociation denotes a connection between pieces of information from habitually separated domains or categories. In this paper, we consider a ...
Marc Segond, Christian Borgelt
PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
13 years 7 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 6 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
PIMRC
2010
IEEE
13 years 6 months ago
Optimal beamforming in cognitive two-way relay networks
We consider a cognitive two-way relay network which consists of two transceivers (primary users) and multiple cognitive terminals. The two transceivers transmit their data toward t...
Ardalan Alizadeh, Seyed Mohammad-Sajad Sadough, Na...