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ICML
2006
IEEE
16 years 7 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
WWW
2008
ACM
16 years 7 months ago
A unified framework for name disambiguation
Name ambiguity problem has been a challenging issue for a long history. In this paper, we intend to make a thorough investigation of the whole problem. Specifically, we formalize ...
Jie Tang, Jing Zhang, Duo Zhang, Juanzi Li
WWW
2006
ACM
16 years 7 months ago
Finding advertising keywords on web pages
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of rev...
Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho
ESORICS
2009
Springer
16 years 7 months ago
Isolating JavaScript with Filters, Rewriting, and Wrappers
Abstract. We study methods that allow web sites to safely combine JavaScript from untrusted sources. If implemented properly, filters can prevent dangerous code from loading into t...
Sergio Maffeis, John C. Mitchell, Ankur Taly
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 6 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng