Abstract-- Channel estimation for frequency-selective timevarying channels is considered using superimposed training. We employ a discrete prolate spheroidal basis expansion model ...
When modifying or debugging a software system, among other tasks, developers must often understand and manipulate source code that crosscuts the system’s structure. These tasks ...
This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distr...
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
International organizations like FAO are intrinsically multilingual. FAO is currently experimenting with semantic-oriented technologies based on ontologies, with the purpose of int...
Caterina Caracciolo, Margherita Sini, Johannes Kei...