Visual Studio Magazine

Microsoft Expands Quantum Development Kit with New Open-Source Tools, VS Code Integration

Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
IEEE

Multispace Dimensionality Reduction Based on Extreme Learning Machine-Assisted Autoencoder for High-Dimensional Expensive Optimization

Abstract: Faced with high-dimensional expensive optimization problems (HEOPs), existing high-dimensional expensive optimization algorithms (HEOAs) struggle to locate promising areas quickly due to a ...
Frontiers

Estimating rice yield-related traits using machine learning models integrating hyperspectral and texture features

1 Rice Research Institute, Guangdong Academy of Agricultural Sciences/Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), ...
The New York Times

Health Cuts Would Result in Fewer Drugs for Americans, Budget Office Reports

The Trump administration’s proposed cuts to medical research and health agencies will curtail the development of promising medications, the Congressional Budget Office said on Friday. By Benjamin ...
GitHub

DR-GEM: Distributionally Robust and latent Group-awarE consensus Machine learning for single cell genomics

DR-GEM is a self-supervised meta-algorithm that combines principles in distributionally robust optimization with balanced consensus machine learning to overcome the challenges of latent class ...
Frontiers

Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors

Several decades of research have investigated the neural connections between stroke-induced brain damage and language difficulties. Typically, lesion-symptom mapping (LSM) studies that address this ...
Scientific Research Publishing

Alavi, M. and Habel, K. (2021) Selecting the Right Performance Metric for Supervised Machine Learning: A Perspective from Business Analytics. Journal of Data Science and ...

ABSTRACT: This study investigates the use of a decision tree classification model, combined with Principal Component Analysis (PCA), to distinguish between Assam and Bhutan ethnic groups based on ...