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CIKM
1997
Springer
15 years 2 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
CORR
2008
Springer
139views Education» more  CORR 2008»
14 years 10 months ago
Distance Distributions in Finite Uniformly Random Networks: Theory and Applications
In wireless networks, the knowledge of nodal distances is essential for performance analysis and protocol design. When determining distance distributions in random networks, the u...
Sunil Srinivasa, Martin Haenggi
AIPS
2009
14 years 11 months ago
Computing Robust Plans in Continuous Domains
We define the robustness of a sequential plan as the probability that it will execute successfully despite uncertainty in the execution environment. We consider a rich notion of u...
Christian Fritz, Sheila A. McIlraith
IJSNET
2008
115views more  IJSNET 2008»
14 years 9 months ago
Event-driven sensor deployment using self-organizing maps
: Coverage is an important optimization objective in pre and post-deployment stage of a Wireless Sensor Network (WSN). In this paper, we address the issue of placing a finite set o...
Cris Koutsougeras, Yi Liu, Rong Zheng
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals