The association between the description of a concern (e.g., a feature) and the code that implements it is valuable information that can degrade as the code of a system evolves. We...
This paper describes our experiments on the two tasks of the TREC 2007 Enterprise track. In data preprocessing stage we stripped the non-letter character from documents and query....
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...