Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

We propose a simple optimal soft-input/soft-output symbol decoding algorithm for linear block codes which requires one forward recursion using a trellis. For many codes the decoding complexity is ...

In this video, we will learn what is linear regression in machine learning along with examples to make the concept crystal clear. Gov. Whitmer Responds as Trump Considers Kidnap Plot Pardon Movies ...

While the abundance of methane-oxidizing bacteria and soil organic carbon also play a role, simple linear regression models showed that soil temperature alone explained 36% of the variability in ...

This paper presents a sample-rebalanced and outlier-rejected k-nearest neighbor regression model for short-term traffic flow forecasting. In this model, we adopt a new metric for the evolutionary ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...