Abstract: Learning Markov blankets (MBs) plays an important role in many machine learning tasks, such as causal Bayesian network structure learning, feature selection, and domain adaptation. Since ...

Abstract: Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a ...

李航老师的《统计学习方法》和周志华老师的西瓜书《机器学习》一直国内机器学习领域的经典教材 ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

In the midst of epidemics such as COVID-19, therapeutic candidates are unlikely to be able to complete the usual multiyear clinical trial and regulatory approval process within the course of an ...

SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem, including: Benchmarks of equation solver implementations ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

Increasingly, farms are becoming monitoring environments in their own right, generating data from yield monitors, GPS-guided ...

Applied physics is the study of physics for a practical purpose, as opposed to physics motived solely for an improved fundamental understanding. This includes technological advances such as the ...

Machine learning models in this domain often operate in low-data regimes, with training set sizes as low as 20 and a median dataset size of around 600 records—conditions that hinder model ...

July 2, 2026 A major breakthrough in quantum technology has turned magnons, tiny magnetic waves once considered too short-lived for practical use, into promising carriers of quantum information.