In the recent years, reciprocal link prediction has received some attention from the data mining and social network analysis researchers, who solved this problem as a binary classification task. However, it is also important to predict the interval time for the creation of reciprocal link. This is a challenging problem for two reasons: First, the lack of effective features, because well-known l...

Probabilistic regression models typically use the Maximum Likelihood Estimation or Cross-Validation to fit parameters. These methods can give an advantage solutions that observations on average, but they do not pay attention coverage and width of Prediction Intervals. A robust two-step approach is used address problem adjusting calibrating Intervals for Gaussian Processes Regression. First, cov...