Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case.
Shihong WeiJames C. SpallPublished in: ACC (2021)
Keyphrases
- error bounds
- computational cost
- orders of magnitude
- machine learning algorithms
- upper and lower bounds
- theoretical analysis
- computationally efficient
- upper bound
- lower bound
- randomized algorithms
- nonlinear filters
- worst case
- optimization problems
- bayesian networks
- learning algorithm
- data sets
- worst case bounds
- filtering algorithm
- convergence rate
- probabilistic approaches
- benchmark datasets
- denoising
- case based reasoning
- multi class
- probabilistic model
- machine learning
- data mining