This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification scenarios.

The paper aims to assess the efficiency of machine-learning techniques in augmenting the detection and identification of Android malware. A comprehensive framework is proposed which relies on the use ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...