# Analytic Continued Fractions for Regression: A Memetic Algorithm Approach

arXiv: https://arxiv.org/abs/2001.00624 · HTML: https://mlsanity.com/paper/2001.00624/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Dec 2019.

## Built on by (most cited first, 2 of 2)

- [Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays](https://mlsanity.com/paper/2104.05929/) (2021)
- [Applications of AI in Astronomy](https://mlsanity.com/paper/2212.01493/) (2022)

## Abstract (arXiv)

We present an approach for regression problems that employs analytic continued fractions as a novel representation. Comparative computational results using a memetic algorithm are reported in this work. Our experiments included fifteen other different machine learning approaches including five genetic programming methods for symbolic regression and ten machine learning methods. The comparison on training and test generalization was performed using 94 datasets of the Penn State Machine Learning Benchmark. The statistical tests showed that the generalization results using analytic continued fractions provides a powerful and interesting new alternative in the quest for compact and interpretable mathematical models for artificial intelligence.