32 search results - page 3 / 7 » Variational Bayes Solution of Linear Neural Networks and Its... |
GECCO
2010
Springer
14 years 4 days ago
2010
Springer
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
IICAI
2007
13 years 8 months ago
2007
We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
ICC
2008
IEEE
14 years 1 months ago
2008
IEEE
—This paper concerns the problem of finding the minimum-length TDMA frame of a power-controlled wireless network subject to traffic demands and SINR (signalto-interference-plus...
IPSN
2004
Springer
14 years 21 days ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
CEC
2005
IEEE
14 years 29 days ago
2005
IEEE
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...