Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces.
Philipp BeckerHarit PandyaGregor H. W. GebhardtCheng ZhaoC. James TaylorGerhard NeumannPublished in: ICML (2019)
Keyphrases
- high dimensional
- feature space
- low dimensional
- dimensionality reduction
- high dimensionality
- data points
- similarity search
- training samples
- high dimensional data
- variable selection
- probabilistic networks
- nearest neighbor
- complex networks
- multi dimensional
- computer networks
- bayesian inference
- probabilistic inference
- kalman filter
- nearest neighbor search
- feature vectors
- bayesian networks
- multi unit combinatorial auctions
- inference process
- recurrent networks
- metric space
- network structure
- input space
- filtering algorithm
- dynamic bayesian networks
- probabilistic model
- training set
- multiscale
- training data
- belief nets
- feature extraction