This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
We propose an approach to build a changeability assessment model for source code entities. Based on this model, we will assess the changeability of evolving software systems. The ...
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Real-time transaction processing becomes concerns as embedded time coming rapidly. However, the transaction process in real-time embedded system still has some problems in resource...