Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...