mcp: Regression with Multiple Change Points mcp does regression with one or Multiple Change Points (MCP) between Generalized and hierarchical Linear Segments using Bayesian inference. mcp aims to ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

While traditional support vector regression algorithm is based on a single kernel, in practice it is often desirable to use multiple kernels. Learning linear combinations of multiple kernels is an ...

This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations based on function point ...