News

C&EN1d
Machine learning helps improve accuracy and efficiency of small-molecule calculations
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
Tech Xplore2d
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
Machine learning modeling assists intelligent process analysis for high-performance virus filtration
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...
Frontiers5d
Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy
A predictive model for HCM was developed through systematic evaluation of 113 combinations of 12 machine-learning algorithms, employing 10-fold cross-validation on training datasets and external ...
IEEE12d
Machine learning models to search relevant genetic signatures in clinical context
Abstract: Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address ...
IEEE20d
Automated Machine Learning based on Genetic Programming: a case study on a real house pricing dataset
Abstract: Designing an effective machine learning model for prediction or classification ... utilization of an AML that has been developed with a meta-heuristic algorithm namely Genetic Programming ...
Medical Xpress24d
Machine learning algorithm brings long-read sequencing to the clinic
These methods have the potential to improve researchers' ability to detect complex genetic ... a new algorithm which they describe in the journal Nature Methods. SAVANA uses machine learning ...