应力预测对于锂离子电池的健康管理至关重要。然而，现有的预测方法通常依赖于单一模型，这些方法往往无法准确捕捉复杂工况下的应力演化。本文提出了一种分段高斯过程回归（GPR）方法，用于锂离子电池在不同运行状态下的应力预测。研究人员搭建了充 ...

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes. APLR builds predictive, interpretable ...

Understanding long‐term health care utilization patterns in congenital heart disease (CHD) is essential for optimizing care delivery. While previous studies often assume linear trends, such ...

Threshold estimation in regression models concerns identifying points at which the relationship between independent and dependent variables shifts distinctively. These models extend linear frameworks ...

Regression in autism refers to the backtracking of skills, often in communication, social interaction, or daily functioning. Regression in autism is a condition where an individual with autism ...

Interrupted Time Series (ITS) studies are commonly used to evaluate public health and policy interventions when randomisation is impractical or infeasible; for example, examining the effects of mass ...

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...