This repository contains a tutorial and practical implementation of Support Vector Machines (SVM), a powerful supervised machine learning algorithm used for ... and showcases practical examples of its ...

This example will show how to implement a Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using rb-libsvm for classification. For more information about this network see the blog post ...

In supervised learning, a set of input variables, such as blood metabolite or gene expression levels, are used to predict a quantitative response variable like hormone level or a qualitative one ...

Abstract: With the continuous development of artificial intelligence, machine learning has shown great ability in classification and regression problems. For example, logistic regression, SVM methods, ...

Decision Trees are a popular machine learning method that partitions the feature space into smaller regions and models the response variable in each region using simple rules. However, Decision Trees ...

Abstract: Support vector machine (SVM) is based on the VC ... which puts SVM into AdaBoost framework to improve the learning accuracy of the SVM algorithm. By changing the weights of the training ...