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CIKM
1997
Springer
15 years 10 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
IPPS
2006
IEEE
16 years 4 days ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
AAAI
2008
15 years 8 months ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos
JMM2
2007
221views more  JMM2 2007»
15 years 6 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
INFOCOM
2009
IEEE
16 years 23 days ago
Interference-Aware MAC Protocol for Wireless Networks by a Game-Theoretic Approach
—We propose an interference-aware MAC protocol using a simple transmission strategy motivated by a gametheoretic approach. We formulate a channel access game, which considers nod...
HyungJune Lee, Hyukjoon Kwon, Arik Motskin, Leonid...