Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs.

Florian Kreyssig Chao Zhang Philip C. Woodland

Published in: CoRR (2018)

Keyphrases

recurrent neural networks
kernel function
neural network
data sets
grid computing
machine learning
similarity measure
support vector
feature space
probabilistic model
linear combination
kernel methods
computing environments
improved algorithm
multiple kernel learning
grid enabled