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CIKM
1997
Springer
15 years 8 months 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»
15 years 11 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
15 years 5 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
15 years 8 months 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
15 years 2 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...