openheart.bmj

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

2026 Oscar predictions according to data

Pontificating about the Oscars’ runners and riders is a tradition as old as the ceremony itself. Critics examine the ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Argus Leader

Find out what a new SDHSAA classification model could look like

The South Dakota High School Activities Association (SDHSAA) discussed a new model for classifying teams at its Board of Directors meeting on Jan. 21, but Executive Director Dan Swartos said the new ...
EurekAlert!

Gradient boosting dendritic network for ultra-short-term PV power prediction

Researchers at Central South University in China have developed a new model to improve ultra-short-term photovoltaic (PV) power prediction, as detailed in their publication in Frontiers in Energy. In ...
IEEE

Harnessing Gradient Boosting for Precision Date Classification: A Path to Sustainable Data-Driven Solutions

Abstract: This study presents a classification technique for date varieties using Gradient Boosting, a robust ensemble learning technique. The classification model is evaluated on a dataset comprising ...
SiliconANGLE

DeepSeek develops mHC AI architecture to boost model performance

DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...
Scientific Research Publishing

Yoon, J. (2020) Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach. Computational Economics, 57, 247-265.

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...
GitHub

Forecasting time series data using gradient boosting method

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...
East Bay Times

China’s DeepSeek releases V3.1, boosting AI model’s capabilities

DeepSeek announced what appeared to be an update to its older V3 artificial intelligence model on Tuesday, declaring an enhanced version ready for testing. AI chip startup Mythic raises $125 million ...
Silicon Valley

China’s DeepSeek releases V3.1, boosting AI model’s capabilities

DeepSeek announced what appeared to be an update to its older V3 artificial intelligence model on Tuesday, declaring an enhanced version ready for testing. Explosive Silicon Valley dispute raises ...