11 search results - page 2 / 3 » On Phase Transitions in Learning Sparse Networks |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— We present a novel network of oscillatory units, whose behavior is described by the amplitude and phase of oscillations. While building on previous work, the system presented i...
TNN
2008
13 years 5 months ago
2008
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
MICAI
2005
Springer
13 years 10 months ago
2005
Springer
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
ICMLA
2010
13 years 3 months ago
2010
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...