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» Kernel Based Detection of Mislabeled Training Examples
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CIKM
2009
Springer
13 years 10 months ago
Ensembles in adversarial classification for spam
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...
Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Fin...
CEAS
2011
Springer
12 years 6 months ago
Blocking spam by separating end-user machines from legitimate mail server machines
Spamming botnets present a critical challenge in the control of spam messages due to the sheer volume and wide spread of the botnet members. In this paper we advocate the approach...
Fernando Sanchez, Zhenhai Duan, Yingfei Dong
WWW
2009
ACM
14 years 7 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
SIGCOMM
2004
ACM
13 years 11 months ago
Locating internet bottlenecks: algorithms, measurements, and implications
The ability to locate network bottlenecks along end-to-end paths on the Internet is of great interest to both network operators and researchers. For example, knowing where bottlen...
Ningning Hu, Erran L. Li, Zhuoqing Morley Mao, Pet...
NIPS
2008
13 years 7 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung