Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

BS EDIT: Resource allocation and the role of the Finance Commission BS EDIT: Indian IT at the crossroads: Tariff shocks and GenAI bets BS EDIT: Monsoon 2025: A boost for growth, a warning for policy ...

The following is a group Kaggle project using multiple linear regression models to predict housing prices in Ames, Iowa. The final Kaggle Score of all price predictions was 0.20623. In this study we ...

Machine learning ... including function regression, pattern recognition, time series forecasting, and autoencoding. One of the key strengths of Neural Designer is its ability to implement deep ...

In this study, we propose a novel machine ... the learning algorithm, which allows the weights to be updated to negative values. The proposed machine learning model based on DNA hybridization reaction ...

To address this, an international team developed a machine learning algorithm called DINGO-BNS (Deep INference for Gravitational-wave Observations from Binary Neutron Stars). This neural network can ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...