339 search results - page 8 / 68 » On the Need for a Neural Abstract Machine |
NN
2006
Springer
13 years 7 months ago
2006
Springer
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...
NPL
1998
13 years 7 months ago
1998
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...