The graph below shows the total number of publications each year in Beta Regression and Quantile Models for Bounded Data. References [1] Model Selection Criteria on Beta Regression for Machine ...

In order to construct a high-quality graph to improve the learning accuracy, a new semi-supervised regression algorithm is proposed. According to all labeled and unlabeled samples, multiple graphs ...

The complexity of tuning and intensive computation required by deep models often leads to overfitting when applied to small data sets. When dealing with small data sets, traditional machine learning ...