715 search results - page 30 / 143 » Neural Network with Matrix Inputs |
FLAIRS
2010
13 years 11 months ago
2010
We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...
IJCAI
1989
13 years 10 months ago
1989
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
IDEAL
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
WSC
1998
13 years 10 months ago
1998
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
ICANN
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...