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NECO
2007
87views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
96
Voted
NECO
2007
115views more  NECO 2007»
14 years 11 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...
NECO
2010
136views more  NECO 2010»
14 years 10 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
NECO
2007
110views more  NECO 2007»
14 years 11 months ago
Exact Simulation of Integrate-and-Fire Models with Exponential Currents
ll Text][Abstract] , October 1, 2007; 19 (10): 2604-2609.Neural Comput. R. Brette Exact Simulation of Integrate-and-Fire Models with Exponential Currents ll Text][Abstract] , Novem...
Romain Brette
ICC
2007
IEEE
133views Communications» more  ICC 2007»
15 years 6 months ago
Blocking Unsolicited Voice Calls Using Decoys for the IMS
Abstract— Spam has been a serious problem for email causing frustration and annoyances to customers. This problem is growing at a fast rate with no signs of abating. Another form...
S. M. Akramus Salehin, Neco Ventura