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AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
CORR
2010
Springer
179views Education» more  CORR 2010»
15 years 2 months ago
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
Ming-Chang Lee, To Chang
WISA
2009
Springer
16 years 23 days ago
Securing Remote Access Inside Wireless Mesh Networks
Wireless mesh networks (WMNs) that are being increasingly deployed in communities and public places provide a relatively stable routing infrastructure and can be used for diverse c...
Mark Manulis
COMPLEX
2009
Springer
16 years 22 days ago
On General Laws of Complex Networks
By introducing and analyzing a renormalization procedure, Song et al. [1] draw the conclusion that many complex networks exhibit self-repeating patterns on all length scales. First...
Wenjun Xiao, Limin Peng, Behrooz Parhami
LANOMS
2007
IEEE
172views Education» more  LANOMS 2007»
16 years 13 days ago
Implementing and Deploying Network Monitoring Service Oriented Architectures
—Recently there is a growing interest in accessing network measurement and status data across multiple domains, in order to detect eventual network problems which can hinder the ...
Leobino Nascimento Sampaio, Ivo Koga, Rafael Costa...