: Defect classification can improve product quality and motivate process improvement. Several defect classification schemes have been developed and used with good results in softwa...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Abstract: Object-Oriented Action Semantics is a semantic framework for the definition of programming languages. The framework incorporates some object-oriented concepts to the Act...
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...