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» Experimental Design for Variable Selection in Data Bases
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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 6 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
SIGMOD
2007
ACM
176views Database» more  SIGMOD 2007»
16 years 6 months ago
URank: formulation and efficient evaluation of top-k queries in uncertain databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between query scores and data uncertainty ma...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...
CIKM
2009
Springer
16 years 26 days ago
Automatic link detection: a sequence labeling approach
The popularity of Wikipedia and other online knowledge bases has recently produced an interest in the machine learning community for the problem of automatic linking. Automatic hy...
James J. Gardner, Li Xiong
WIDM
2003
ACM
15 years 11 months ago
Schema-guided wrapper maintenance for web-data extraction
Extracting data from Web pages using wrappers is a fundamental problem arising in a large variety of applications of vast practical interests. There are two main issues relevant t...
Xiaofeng Meng, Dongdong Hu, Chen Li
FTCS
1998
91views more  FTCS 1998»
15 years 7 months ago
How Fail-Stop are Faulty Programs?
Most fault-tolerant systems are designed to stop faulty programs before they write permanent data or communicate with other processes. This property (halt-on-failure) forms the co...
Subhachandra Chandra, Peter M. Chen