Optimal and suboptimal smoothing algorithms for identification of time-varying systems with randomly drifting parameters.
Maciej NiedzwieckiPublished in: Autom. (2008)
Keyphrases
- computationally efficient
- theoretical analysis
- worst case
- learning algorithm
- computer vision algorithms
- parameter tuning
- parameter identification
- computational complexity
- computational cost
- machine learning
- complex systems
- expectation maximization
- analytical models
- closed form solutions
- parameter settings
- sensitivity analysis
- closed form
- intelligent systems
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- search algorithm
- bayesian networks
- decision trees
- genetic algorithm
- information retrieval