A Slices Perspective for Incremental Nonparametric Inference in High Dimensional State Spaces.
Moshe ShienmanOhad Levy-OrMichael KaessVadim IndelmanPublished in: CoRR (2024)
Keyphrases
- high dimensional
- state space
- data driven
- low dimensional
- incremental learning
- feature space
- high dimensionality
- dirichlet process
- data points
- dimensionality reduction
- bayesian networks
- nearest neighbor
- markov chain
- similarity search
- bayesian inference
- bayesian model
- belief networks
- parameter space
- reinforcement learning algorithms
- statistical inference
- heuristic search
- bayesian modeling
- quantitative measurements
- microarray data
- markov decision processes
- high dimensional data
- multi dimensional
- dynamic programming
- noisy data
- metric space
- gene expression data
- data sets
- variable selection
- optimal policy
- inference process
- viewpoint
- feature selection