Year: 2024
Type: article
Abstract: It was proposed that a k -nearest neighbour classifier is able to outperform large-language models using compressed text as input and normalised compression distance as a metric. We successfully applied this method to cheminformatics tasks.
Source: Digital Discovery
DOI: 10.1039/d4dd00162a
Authors: Jan Weinreich, Daniel Probst
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404021931