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JMLR
2010
160views more  JMLR 2010»
13 years 2 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
IEEEARES
2006
IEEE
14 years 1 months ago
Evaluation of Network Robustness for Given Defense Resource Allocation Strategies
Since the 9/11 terrorist attacks, the effective and efficient protection of critical information infrastructures has become an even more important issue. To enhance network surviv...
Y.-S. Lin, P.-H. Tsang, C.-H. Chen, C.-L. Tseng, Y...
IJON
2008
156views more  IJON 2008»
13 years 7 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
USS
2010
13 years 5 months ago
Idle Port Scanning and Non-interference Analysis of Network Protocol Stacks Using Model Checking
Idle port scanning uses side-channel attacks to bounce scans off of a "zombie" host to stealthily scan a victim IP address and determine if a port is open or closed, or ...
Roya Ensafi, Jong Chun Park, Deepak Kapur, Jedidia...
CORR
2011
Springer
221views Education» more  CORR 2011»
13 years 2 months ago
Course on System Design (structural approach)
—The article describes a course on system design (structural approach) which involves the following: issues of systems engineering; structural models; basic technological problem...
Mark Sh. Levin