Visual Studio Magazine

Nadaraya-Watson Kernel Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, height, high school GPA, and so on.
IEEE

Hybrid SORN Support Vector Machine Classifier: A Hardware Implementation of the RBF Kernel

Abstract: In this paper, a new hardware-friendly implementation of a Support Vector Machine (SVM) classifier using the radial basis function (RBF) kernel is presented. It is based on ...
IEEE

Efficient High-Dimensional Learning With Adaptive Gaussian RBF Networks

Abstract: Radial basis function neural networks (RBFNNs) are widely applied due to their rapid modeling capabilities and efficient learning performance. However, when dealing with high-dimensional ...
GitHub

Commparing support vector machine vs. Radial basis function on the MNIST dataset

The algorithms learns a training set of MISIT (the hand written digit database) per algorithm and makes predictions of new set of digit (test set). The MINSIT databse got digits from 0 to 9 The ...