A positive extension matrix algorithm/sub AE18/ of learning from examples

摘要

The key aim of inducing rules from unordered examples is the learning algorithm, so development of a high-quality learning algorithm will promote growth of machine learning. In order to optimize our positive matrix algorithm, this paper presents a new version of the positive extension matrix algorithm called AE/sub 18/ and makes comparisons with our experimental results.