In the first approach, represented by the LEM2 rule induction algorithm, induced rules are discriminant, i.e., every concept is completely described and rules ...

Rule sets that are complete and consistent are called discriminant by R. Michalski [7]. Our disciminant rule sets were induced by the LEM2 (Learning from ...

This paper attempts to extend the IRIM system to be able to handle missing attribute values more thoroughly than ignoring the cases that they belong to, and ...

Request PDF | Discriminant versus Strong Rule Sets | The main objective of our research was to compare two completely different approaches to rule induction ...

May 30, 2017 · The discriminant tells us whether a quadratic polynomial will have two (if the disc. is positive), one (if the disc. is zero), or no real roots ...

Discriminant analysis seeks to determine which of the possible population an observation comes from while making as few mistakes as possible.

Convergent and discriminant validity are subtypes of construct validity. Demonstrating evidence of both also demonstrates evidence for construct validity.

Sep 30, 2013 · However, Bayes' approach based on discriminants is a little bit general in that it will allow to use separate class discriminant covariance ...

Apr 19, 2020 · Gaussian Discriminant Analysis (GDA) is the name for a family of classifiers that includes the well-known linear and quadratic classifiers.

Discriminant analysis is a statistical technique used to construct a classification function based on a learning sample.