Abstract: Learning-based motion planning methods have shown significant promise in enhancing the efficiency of traditional algorithms. However, they often face performance degradation in novel ...

This study proposes a novel solution approach for symbolic regression problems by integrating the multitask learning paradigm with a multi-gene genetic programming (MGGP) framework. The proposed ...

If you have been wanting to learn machine learning from an IIT professor without paying a course fee, IIT Madras has just opened that door for 2026. Its popular “Introduction to Machine Learning” ...

Explaining the good and bad of regression to the mean and how it can help predict the future and improve your fantasy rosters. Welcome to Regression Alert, your weekly guide to using regression to ...

Week 2 of the college football season faced a high bar following a historic Week 1 from a TV ratings perspective. Some notable games awaited, led by a showdown between Oklahoma and Michigan in ...

The goal of liu.lab4.algorithms is to provide an R implementation of a multiple linear regression mode. This package was created for Lab 4 in the course 732A94 Advanced R Programming at Linköping ...

The New England Patriots secured a notable bounce-back win in Week 2 after some panic set in for the fanbase following a disappointing opener. A disappointing loss in Week 1 is now forgotten after New ...

The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable ...