Combining least-squares regressions: an upper-bound on mean-squared error.
Gilbert LeungAndrew R. BarronPublished in: ISIT (2005)
Keyphrases
- upper bound
- least squares
- lower bound
- linear model
- worst case
- robust estimation
- parameter estimation
- upper and lower bounds
- branch and bound algorithm
- branch and bound
- machine learning
- linear regression
- sparse linear
- error probability
- lower and upper bounds
- correlation coefficient
- state space
- optical flow
- decision trees