They also hope to test specific interventions targeting each of the three clusters. More information: Yunyu Xiao et al, Machine learning to investigate policy-relevant social determinants of ...

Read this deep dive into six patents that reveal how Google's AI Overviews and AI Mode work – and what it all means for the ...

Cluster Boost harnesses the strengths of both unsupervised and supervised learning methods, combining them to create a more robust and accurate predictive model. The proposed Cluster Boost model ...

Document clustering is one of the popular machine learning technique used to group unstructured data (text documents) based on its content and further analyze the data to understand the patterns in it ...

We welcome contributions that explore machine learning, deep learning, clustering, feature extraction, and dimensionality reduction methods for analyzing data from modalities such as fMRI, EEG, MEG, ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...