265 search results - page 14 / 53 » On the Computational Power of Neural Nets |
58
Voted
CONCUR
1995
Springer
15 years 1 months ago
1995
Springer
Abstract. We exploit a notion of interface for Petri nets in order to design a set of net combinators. For such a calculus of nets, we focus on the behavioural congruences arising ...
93
Voted
NECO
2010
14 years 4 months ago
2010
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
EUROCOLT
1997
Springer
15 years 1 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Spiking Neuron Networks (SNNs) overcome the computational power of neural networks made of thresholds or sigmoidal units. Indeed, SNNs add a new dimension, the temporal a...
90
Voted
CCS
2011
ACM
13 years 9 months ago
2011
ACM
We conduct an extensive study of information leakage over the powerline infrastructure from eight televisions (TVs) spanning multiple makes, models, and underlying technologies. I...