High dimensional inference for the structural health monitoring of lock gates.
Matthew D. ParnoDevin O'ConnorMatthew D. SmithPublished in: CoRR (2018)
Keyphrases
- high dimensional
- low dimensional
- inference process
- probabilistic inference
- bayesian networks
- dimensionality reduction
- similarity search
- high dimensional problems
- sparse data
- metric space
- data points
- power consumption
- efficient learning
- bayesian inference
- multi dimensional
- parameter space
- input space
- microarray data
- high dimensionality
- variable selection
- feature space
- multi modal
- high dimensional spaces
- data analysis
- grammatical inference
- discrete data
- database