Researchers present a machine learning framework that forecasts individual mental health deterioration using limited, real-world data from wearables and smartphones. This enables personalized early ...

A ground-breaking approach using "small data" machine learning could revolutionize mental healthcare by predicting individual crises before they ...

Best machine learning model for sparse data To help combat these issues that arise with sparse data machine learning, there are a few things to do. First, because of the noise in the model, it’s ...

Shihao Yang, Samuel W. K. Wong, S. C. Kou, Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes, Proceedings of the National Academy of Sciences of the ...

Researchers from Hefei University of Technology and Tsinghua University have developed a new cognitive diagnosis approach that overcomes ...

Cold Bay, Sand Point, and Kodiak in Alaska are in danger from the tsunami, which is likely to hit following a 7.3 earthquake.