Abstract: Multi-linear regression (MLR) algorithm is simple but one of the powerful machine learning algorithms for prediction where output linearly depends on the independent variables. This work ...

Social media platforms use complex algorithms to decide what content appears on each user's feed. These systems are designed to filter massive amounts of posts and prioritize the ones most likely to ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

Machine learning has revolutionised how we solve problems, make decisions, and uncover patterns in data. Among its many algorithms, linear regression stands out as one of the simplest yet most ...

To handle principal component analysis (PCA)-based missing data with high correlation, we propose a novel imputation algorithm to impute missing values, called iterated score regression. The procedure ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...

The gross calorific value (GCV) of coal is an important parameter for evaluating coal quality, and regression analysis methods can be used to predict GCV. In this study, we proposed a GCV prediction ...