About this document
Sequential Covering in Rule Learning by Rodin is a document available to read on EtoBox.
This document discusses machine learning techniques, specifically advanced learning approaches like learning sets of rules using sequential covering algorithms. It outlines the unit objectives of designing appropriate machine learning algorithms for problem solving and unit outcomes like differentiating between supervised, unsupervised, and semi-supervised learning approaches. It also discusses prerequisites, the sequential covering algorithm, first-order rules, inductive logic programming (ILP), and how in
- Author
- Rodin
- Language
- EN