Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...
This paper reports a safe regression test selection (RTS) approach that is designed for verifying Web services in an end-to-end manner. The Safe RTS technique has been integrated ...
This paper introduces an approach to web application regression testing, based upon repair of user session data. The approach is entirely automated. It consists of a white box exa...
In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews sh...