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» Neural Networks and Complexity Theory
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ICANN
2007
Springer
14 years 1 months ago
Incremental One-Class Learning with Bounded Computational Complexity
Rowland R. Sillito, Robert B. Fisher
NN
2008
Springer
13 years 7 months ago
Some neural networks compute, others don't
I address whether neural networks perform computations in the sense of computability theory and computer science. I explicate and defend the following theses. (1) Many neural netw...
Gualtiero Piccinini
NN
1998
Springer
13 years 6 months ago
Multilayer neural networks and Bayes decision theory
There are many applications of multilayer neural networks to pattern classification problems in the engineering field. Recently, it has been shown that Bayes a posteriori probab...
Ken-ichi Funahashi
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 10 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
NN
1998
Springer
13 years 6 months ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato