5 days ago ¡¤ This method leverages the low-dimensional subspace structure of the data to estimate missing values through a linear combination of observed values, thus ...

5 days ago ¡¤ In Scenario 2, with lifetime data at the system, the probability density function for the system ... The interval estimation of system reliability from component ...

2 days ago ¡¤ Figure 1 illustrates the three main steps in multiple imputation: imputation, analysis and pooling. The software stores the results of each step in a specific ...

4 days ago ¡¤ To ensure data completeness, various imputation methods were applied to replace missing values in the dataset.

4 days ago ¡¤ To address the problem of low localization accuracy in the I/O transition area and the difficulty of achieving fast and accurate I/O switching, a Kalman filter ...

2 days ago ¡¤ The process involves several key steps: data preprocessing, including stratigraphic coding and normalization; feature extraction from 3D borehole positions; ...

6 days ago ¡¤ Influence functions aim to quantify the impact of individual training data points on a model's predictions. While extensive research has been conducted on ...

3 days ago ¡¤ ARI measures the similarity between the true labels and the clustering labels and reducing the influence of random permutations, which means random assignments ...

1 day ago ¡¤ The proposed method offers a rich representation of text by integrating several models to detect different aspects of text such as syntactic, topic, and ...