Patent ID: 8494821
Filing Date: 2013-07-23
Classification: G06F,G06K

Abstract:
1. A method for modeling of original insurance data in an insurance industry, the method comprising: deriving a non-convex loss function characterized over the original insurance data, the derived loss function optimized to a multi-dimensional calculation that involves a matrix calculation; representing regression functions for the mean and the dispersion as stagewise expansion forms, the stagewise expansion forms including undetermined scalar coefficients and undetermined basis functions; determining the basis functions that maximally correlate with a corresponding steepest-descent gradient direction of the derived loss function; obtaining the scalar coefficients based on a single step of multi-dimensional Newton iteration involving a matrix calculation; making the single step of the multi-dimensional Newton iteration to be a multi-dimensional steep-descent gradient, which involves a matrix calculation, for the obtained scalar coefficients; completing the regression functions based on the determined basis functions and the obtained scalar coefficients; and concurrently estimating, based on the completed regression functions, the mean value and the dispersion value of the original insurance data, wherein a processor coupled to a memory device performs said deriving, said representing, said determining, said obtaining, said making, said completing, and said concurrently estimating.