Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...