A modified orthogonal forward regression least-squares algorithm for system modelling from noisy regressors.
Lingzhong GuoStephen A. BillingsPublished in: Int. J. Control (2007)
Keyphrases
- least squares
- detection algorithm
- optimization algorithm
- dynamic programming
- levenberg marquardt
- learning algorithm
- computational cost
- preprocessing
- search space
- computational complexity
- similarity measure
- k means
- cost function
- np hard
- probabilistic model
- regression method
- input data
- policy iteration
- noise free
- sparse linear
- upper confidence bound
- knn
- regression problems
- noisy data
- parameter estimation
- markov random field
- support vector
- feature selection
- computer vision