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» Inference in Bayesian Networks
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DIS
2009
Springer
15 years 11 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
138
Voted
IMC
2005
ACM
15 years 10 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
USS
2010
15 years 2 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...
ASUNAM
2009
IEEE
15 years 2 months ago
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...
Frank Kappe, Bilal Zaka, Michael Steurer
SIGCOMM
2009
ACM
15 years 11 months ago
Detailed diagnosis in enterprise networks
By studying trouble tickets from small enterprise networks, we conclude that their operators need detailed fault diagnosis. That is, the diagnostic system should be able to diagno...
Srikanth Kandula, Ratul Mahajan, Patrick Verkaik, ...