… This paper is a representation of different types of supervised machine learning algorithms
and their most efficient use to make decisions more efficient and to complete the task in more …

… This survey paper provides essential definitions, an overview of the different principles
and methodologies of explainable Supervised Machine Learning (SML). We conduct a state-of-…

… This paper discusses the most commonly used supervised machine learning algorithms for
classification. Our aim was to prepare a comprehensive review of the key ideas, drawing out …

… a primer in supervised machine learning (ie, machine learning for prediction) … supervised
learning, however, it is first necessary to understand its distinction from unsupervised learning…

… In the next section, we will cover wide-ranging issues of supervised machine learning such
as selection of features and data pre-processing. Logical/Symbolic techniques are being …

… Supervised classification is one of the tasks most frequently carried out by the … Supervised
Machine Learning (ML) classification techniques, compares various supervised learning …

… supervised machine learning classification techniques. Of course, a single chapter cannot
be a complete review of all supervised machine learning … supervised machine learning …

… state-of-the-art supervised machine learning algorithms. … This paper discusses the commonly
used supervised … different techniques for every supervised learning method. The paper …

… In this paper we present a general overview of several supervised machine learning (ML)
algorithms and illustrate their use for the prediction of mass mortality events in the coastal …

… There is also an increasingly important middle ground referred to as semi-supervised learning,
… In the area of reinforcement learning, another branch of machine learning, we do not only …