Randomized Least Squares Regression: Combining Model- and Algorithm-Induced Uncertainties.
Jocelyn T. ChiIlse C. F. IpsenPublished in: CoRR (2018)
Keyphrases
- probabilistic model
- mathematical model
- theoretical analysis
- prior information
- optimization model
- similarity measure
- classification algorithm
- algorithm employs
- improved algorithm
- optimization algorithm
- detection algorithm
- recognition algorithm
- final result
- learning algorithm
- input data
- kalman filter
- simulation study
- bayesian framework
- cost function
- selection algorithm
- multiple models
- closed form
- worst case
- expectation maximization
- significant improvement
- segmentation algorithm
- estimation algorithm
- energy function
- clustering method
- em algorithm
- optimal solution
- dynamic programming
- np hard
- k means
- preprocessing
- hyper graph
- computational model
- search algorithm
- computational complexity
- model free
- artificial neural networks
- search space
- hidden markov models
- experimental evaluation
- computational cost
- probability distribution
- tree structure