Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels.
J. Austin EllisSivasankaran RajamanickamPublished in: HPEC (2019)
Keyphrases
- neural network
- covariance function
- gaussian processes
- gaussian process regression
- pattern recognition
- sparse data
- multiple kernel
- neural nets
- support vector
- genetic algorithm
- fuzzy systems
- back propagation
- kernel function
- fuzzy logic
- linear combination
- neural network model
- feed forward
- high dimensional
- belief nets
- probabilistic inference
- additive models
- sparse representation
- image classification
- artificial neural networks
- bayesian networks
- belief networks
- recurrent neural networks
- multilayer perceptron
- multi layer
- sparse coding
- kernel methods
- multiple kernel learning
- fault diagnosis
- inference process
- unsupervised learning
- kernel matrices
- norm regularization