This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Fault tree analysis is a traditional and well-established technique for analyzing system design and robustness. Its purpose is to identify sets of basic events, called cut sets, wh...
Marco Bozzano, Alessandro Cimatti, Francesco Tappa...
Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
IEEE 802.11 based wireless LANs (WLAN) are ubiquitous nowadays. Running real time voice and video applications over LANs is becoming common place. These applications require QoS i...
Our goal in this study was to explore the potentials of extracting features from eye-tracking data that have the potential to improve performance in implicit relevance feedback. We...
Kirsten Kirkegaard Moe, Jeanette M. Jensen, Birger...