Takes in a set of points from a csv file, and predicts the quadratic funciton that best follows the points.

A logistic regression analysis reveals the relationship between a ... In this case, the cost function is quadratic so Newton’s method would be applied to its derivative which could also be called a ...

This talk will present a highly efficient solver for SDD linear systems, which is part of a new paradigm of designing algorithms for graph related optimization problems. This solver represents two ...

Abstract: In order to construct a high-quality graph to improve the learning accuracy, a new semi-supervised regression algorithm is proposed. According to all labeled and unlabeled samples, multiple ...

The versatility of the proposed algorithm is evidenced by the fact that quadratic functions are often used as approximations for other functions, as in, for example, regression analysis. As compared ...