In recent years, an enormous amount of research has been carried out on support vector
machines (SVMs) and their application in several fields of science. SVMs are one of the …

In supervised learning, a training set providing previously known information is used to
classify new instances. Commonly, several instances are stored in the training set but some …

Abstract The k-Nearest Neighbor algorithm (kNN) is an algorithm that is very simple to
understand for classification or regression. It is also a lazy algorithm that does not use the …

The nearest neighbor classifier is one of the most used and well-known techniques for
performing recognition tasks. It has also demonstrated itself to be one of the most useful …

Support vector machine is a classification model which has been widely used in many
nonlinear and high dimensional pattern recognition problems. However, it is inefficient or …

Botnets, which consist of remotely controlled compromised machines called bots, provide a
distributed platform for several threats against cyber world entities and enterprises. Intrusion …

Software companies spend over 45 percent of cost in dealing with software bugs. An
inevitable step of fixing bugs is bug triage, which aims to correctly assign a developer to a …

Prototype selection problem consists of reducing the size of databases by removing samples
that are considered noisy or not influential on nearest neighbour classification tasks …

A training set is a special set of labeled data providing known information that is used in the
supervised learning to build a classification or regression model. We can imagine each …

Abstract Support Vector Machine (SVM) has important properties such as a strong
mathematical background and a better generalization capability with respect to other …