Classifiers for Predicting the Success of the Generalization of Fulton’s Intersection Multiplicity Algorithm
In this paper we propose properties of polynomial systems which we believe may correspond to the success of the Generalization of Fulton’s Intersection Multiplicity Algorithm, and compare 4 classifiers trained on a data set generated from extracting these properties from randomly generated regular sequeces.
