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115
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IJCNN
2006
IEEE
15 years 9 months ago
Improving the Convergence of Backpropagation by Opposite Transfer Functions
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
Mario Ventresca, Hamid R. Tizhoosh
118
Voted
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 9 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
179
Voted
AR
2011
14 years 10 months ago
Real-Time Pose-Invariant Face Recognition Using the Efficient Second-Order Minimization and the Pose Transforming Matrix
We propose a real-time pose invariant face recognition algorithm from a gallery of frontal images only. First, we modified the second order minimization method for active appearan...
Hyun-Chul Choi, Se-Young Oh
GLOBECOM
2008
IEEE
15 years 10 months ago
Evolutionary Game Framework for Behavior Dynamics in Cooperative Spectrum Sensing
—Cooperative spectrum sensing has been shown to greatly improve the sensing performance in cognitive radio networks. However, if the cognitive users belong to different service p...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy
122
Voted
EVOW
2010
Springer
15 years 10 months ago
Learning to Dance through Interactive Evolution
A relatively rare application of artificial intelligence at the nexus of art and music is dance. The impulse shared by all humans to express ourselves through dance represents a u...
Greg A. Dubbin, Kenneth O. Stanley