The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are not applicable for OPF calculation since the ...

This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

5 Alternative methods Besides trimming and winsorizing, there are other methods to deal with outliers in regression, such as transforming the data, using robust estimators, or adding dummy variables.

Prompt-Based Approach: Moving away from conventional numerical regression models, we reframe the task into a prompt-based question-answering perspective. Social Reasoning: Beyond physics-based ...

These insights could help scientists build models that are simpler, more efficient, and possibly more transparent. More information: Vittorio Erba et al, Bilinear Sequence Regression: A Model for ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...