Empirical loss estimation system, empirical loss estimation method and experience loss estimation program

摘要

The density estimator 81 is given the observed covariances and learns a regression model having a desired variable corresponding to the random variable and an independent variable corresponding to the observed covariances Conditional probability density of random variables showing a true value which is a result of mapping of smooth functions of unobserved covariates is estimated.The integral estimator 82 estimates the one-dimensional integral of the product of the sigmoidal function of the input random variable and the function of the conditional probability density of the random variable.