Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Leaving out neural networks and deep learning, which require a much higher level of computing resources, the most common algorithms are Naive Bayes, Decision Tree, Logistic Regression, K-Nearest ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.

Scientists use machine learning to predict diversity of tree species in forests. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 07 / 240716151249.htm ...

Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements ...

RF is an ensemble learning algorithm that uses random subsampling with replacement of training observations to construct multiple DTs and performs classification by averaging results of individual ...