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» Monotonicity in Bayesian Networks
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 10 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
15 years 11 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
PR
2011
14 years 7 months ago
Detecting and discriminating behavioural anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...
Chen Change Loy, Tao Xiang, Shaogang Gong
AAAI
2007
15 years 6 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...
ICASSP
2010
IEEE
15 years 4 months ago
Structuring a gene network using a multiresolution independence test
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
Takayuki Yamamoto, Tetsuya Takiguchi, Yasuo Ariki