Abstract: This article introduces a novel concatenated coding scheme called sparse regression LDPC (SR-LDPC) codes. An SR-LDPC code consists of an outer non-binary LDPC code and an inner sparse ...

Love high-speed driving games? Then BikeWorld is just perfect for you. Adrenaline junkies will enjoy blitzing through the game’s world with fast bikes while doing stunts to earn extra cash. However, ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504, United States Energy Institute of Louisiana, University of Louisiana ...

Prediction of profits for a food truck using Linear Regression algorithm in Matlab programming language. Also using Gradient Descent to optimize parameters and Data visualization. This week we’re ...

Abstract: Sparse regression codes (SPARCs) are a recent coding technique for the AWGN channel where the codewords are linear combinations of columns of a design matrix. In a spatially coupled sparse ...

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian ...