In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Abstract: This study focuses on the learning-based asynchronous sliding mode control ... To address these issues, a joint probability distribution function based on the current mode and its duration, ...

This study presents a valuable finding on how the locus coeruleus modulates the involvement of medial prefrontal cortex in set shifting using calcium imaging. The evidence supporting the claims was ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Four machine learning (ML) models (Random Forest (RF), Support Vector Machine (SVM), Logistic Regression (LR), and XGBoost (XGB)) are applied to simulate permafrost distribution and probability, as ...

Explore use of machine learning in supply chain logistics, including how machine learning can benefit your supply chain ...

Using common thyroid function data, this study employed seven popular machine learning (ML) models and provided a comparison ... the t-test for measuring data accorded with a normal distribution and ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

More information: Yunyu Xiao et al, Machine learning to investigate policy-relevant social determinants of health and suicide rates in the United States, Nature Mental Health (2025). DOI: 10.1038 ...

Get here detailed CBSE Class 9 Artificial Intelligence Syllabus reduced, deleted, chapter-wise, marking scheme, weightage, ...