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ICML
2009
IEEE
16 years 20 days ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
NOMS
2006
IEEE
189views Communications» more  NOMS 2006»
15 years 5 months ago
Analysis of Firewall Policy Rules Using Data Mining Techniques
— Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, cos...
Korosh Golnabi, Richard K. Min, Latifur Khan, Ehab...
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 12 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
DSN
2007
IEEE
15 years 3 months ago
A Real-Time Network Traffic Profiling System
This paper presents the design and implementation of a real-time behavior profiling system for high-speed Internet links. The profiling system uses flow-level information from con...
Kuai Xu, Feng Wang 0002, Supratik Bhattacharyya, Z...
ICML
2010
IEEE
15 years 28 days ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos