… applying machine-learning classification to two … machine-learning literature and explores
practical considerations regarding the use of machine learning for remote-sensing classification…

… various classification algorithms and the recent attempt for improving classification accuracy—…
In the next sections, we will focus on the most important supervised machine learning …

… In this paper various popular classification techniques of machine learning has been
discussed with their basic working mechanism, strengths and weaknesses. The potential …

… This paper describes various supervised machine learning classification techniques. Of … of
all supervised machine learning classification algorithms (also known induction classification …

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

… to a learning algorithm for producing a complete characterization of the classification task. …
or redundant to the learning task, which will deteriorate the performance of the employed …

… classification models that are used in machine learning. The reason of the model evaluation
is to find the optimal solution from various classification … To evaluate classification models …

… that are employed in text documents classification, while at the same … machine learning
techniques. This paper provides a review of the theory and methods of document classification …

… a general machine learning framework for social media user classification which relies on
four gen- … with a supervised machine learning framework providing models for specific user …

… learning (a layered approach) are highly suitable for the system that addresses big …
classification problems. Therefore, the goal of this book is to present some of the machine learning …