Analysis and design of decision-directed learning schemes using stochastic approximation
Information Sciences: an International Journal
Pattern classification and clustering: A review of partially supervised learning approaches
Pattern Recognition Letters
| Hi-index | 754.84 |
A decision-directed scheme for estimating the mean is expressed as a stochastic approximation algorithm. The algorithm is shown to converge, but not to the true value, by means of the theory of stochastic approximation. A modification of the algorithm that converges to the true value is presented.