“Periodic table of machine learning” could fuel AI discovery | MIT News
MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new...
Learning
Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users | BMC Medical Research Methodology
Extreme gradient boosting modelOur study focused on tuning the hyper-parameters of an extreme gradient boosting model for predicting a binary...
Tutorial: guidelines for the use of machine learning methods to mine genomes and proteomes for antibiotic discovery
Magana, M. et al. The value of antimicrobial peptides in the age of resistance. Lancet Infect. Dis. 20, e216–e230 (2020).Article ...
Deep learning method identifies transition states in protein conformational changes
Schematic representation of TS-DAR for transition state identification. Credit: From: Exploring transition states of protein conformational changes via out-of-distribution detection...
Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification
The data processing, methodology, and evaluation workflow for this study are outlined in Fig. 1.Fig. 1Overview of the data processing, methodology,...
Machine learning approach leads to discovery of high-performance infrared functional materials
Schematic of the synergistic framework for interpretable ML-assisted target synthesis of IRFMs. Credit: Advanced Science (2025). DOI: 10.1002/advs.202417851 Infrared optoelectronic...
