The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
We use machine learning techniques to find the best combination of local focus and lexical distance features for identifying the anchor of mereological bridging references. We fin...
Massimo Poesio, Rahul Mehta, Axel Maroudas, Janet ...
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
—Model-Based Development (MBD) provides an al level of abstraction, the model, which lets engineers focus on the business aspect of the developed system. MBD permits automatic tr...