The automated analysis of Feature Models (FMs) focuses on the usage of different logic paradigms and solvers to implement a number of analysis operations on FMs. The implementatio...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
A current trend in the software engineering community is to integrate different tools in a friendly and powerful development environment for use by final users. This is also the c...
This paper studies the archival problem: how a digital library can preserve electronic documents over long periods of time. We analyze how an archival repository can fail and we p...
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...