Learning Function Estimation

This chapter discusses methods for estimation. A best estimate is one that minimizes the expected cost or loss. Nearest neighbor and kernel methods extended in a natural way by suitably averaging the labels yi instead of voting as was done in the case of classification. Multilayer neural networks ca... View More