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» Efficient Discovery of Confounders in Large Data Sets
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ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
13 years 6 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li
KDD
1997
ACM
130views Data Mining» more  KDD 1997»
14 years 1 months ago
Process-Based Database Support for the Early Indicator Method
In Wirth t Reinartz (1996), we introduced the early indicator method, a multi-strategy approach for the efficient prediction of various aspectsof the fault profile of a set of car...
Christoph Breitner, Jörg Schlösser, R&uu...
ECAI
2010
Springer
13 years 10 months ago
Event Model Learning from Complex Videos using ILP
Abstract. Learning event models from videos has applications ranging from abnormal event detection to content based video retrieval. Relational learning techniques such as Inductiv...
Krishna S. R. Dubba, Anthony G. Cohn, David C. Hog...
VLDB
2005
ACM
162views Database» more  VLDB 2005»
14 years 2 months ago
XQuery Implementation in a Relational Database System
Many enterprise applications prefer to store XML data as a rich data type, i.e. a sequence of bytes, in a relational database system to avoid the complexity of decomposing the dat...
Shankar Pal, Istvan Cseri, Oliver Seeliger, Michae...
MOBICOM
2000
ACM
14 years 1 months ago
Caching strategies in on-demand routing protocols for wireless ad hoc networks
An on-demand routing protocol for wireless ad hoc networks is one that searches for and attempts to discover a route to some destination node only when a sending node originates a...
Yih-Chun Hu, David B. Johnson