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CIKM
1997
Springer
14 years 2 days ago
Learning Belief Networks from Data: An Information Theory Based Approach
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...
Jie Cheng, David A. Bell, Weiru Liu
SIGMETRICS
2009
ACM
122views Hardware» more  SIGMETRICS 2009»
14 years 2 months ago
Botnet spam campaigns can be long lasting: evidence, implications, and analysis
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...
EMNLP
2007
13 years 9 months ago
Characterizing the Errors of Data-Driven Dependency Parsing Models
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...
Ryan T. McDonald, Joakim Nivre
EDCC
1999
Springer
14 years 6 days ago
Dependability Modelling and Sensitivity Analysis of Scheduled Maintenance Systems
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...
Andrea Bondavalli, Ivan Mura, Kishor S. Trivedi
SG
2010
Springer
13 years 5 months ago
Event Line View: Interactive Visual Analysis of Irregular Time-Dependent Data
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...