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» Evaluating algorithms that learn from data streams
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149
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WWW
2003
ACM
16 years 7 months ago
P2Cast: peer-to-peer patching scheme for VoD service
Providing video on demand (VoD) service over the Internet in a scalable way is a challenging problem. In this paper, we propose P2Cast - an architecture that uses a peer-to-peer a...
Yang Guo, Kyoungwon Suh, James F. Kurose, Donald F...
ICAC
2006
IEEE
16 years 22 days ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
COLT
2000
Springer
15 years 11 months ago
Average-Case Complexity of Learning Polynomials
The present paper deals with the averagecase complexity of various algorithms for learning univariate polynomials. For this purpose an appropriate framework is introduced. Based o...
Frank Stephan, Thomas Zeugmann
DBSEC
2010
319views Database» more  DBSEC 2010»
15 years 8 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang
202
Voted
ICCV
2001
IEEE
16 years 8 months ago
Performance Evaluation of Stereo for Tele-presence
In an immersive tele-presence environment a 3D remote real scene is projected from the viewpoint of the local user. This 3D world is acquired through stereo reconstruction at the ...
Jane Mulligan, Volkan Isler, Konstantinos Daniilid...