Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Artificial Intelligence 'Murder prediction' algorithms echo some of Stalin's most horrific policies — governments are treading a very dangerous line in pursuing them ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

LR, linear regression; QR, quantile regression; and ANN, artificial neural network. Considering the second ANN, trained to obtain the values of dominant height at a future age, errors between -20 and ...

Radiosensitivity was measured by the surviving fraction at 2 Gy (SF2). We applied a dynamic programming (DP) algorithm to create a piecewise (segmented) multivariate linear regression model predicting ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

To facilitate the design for signal integrity in interconnect networks, this study explores the application of a deep neural network called convolutional neural network in eye diagram recognition. A ...

EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...

A wide range of machine learning algorithms such as linear regression, logistic regression, support vector machine, and kernel methods, neural networks, and many others are available for the learning ...