This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Accurately identifying spam campaigns launched by a large number of bots in a botnet allows for accurate spam campaign signature generation and hence is critical to defeating spam...
Abhinav Pathak, Feng Qian, Y. Charlie Hu, Zhuoqing...
We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
Abstract. In this paper we present a new modelling approach for dependability evaluation and sensitivity analysis of Scheduled Maintenance Systems, based on a Deterministic and Sto...
Abstract. In this paper we present a novel approach to visualize irregularly occurring events. We introduce the event line view designed specifically for such events data (a subset...
Kresimir Matkovic, Alan Lez, Denis Gracanin, Andre...