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AAAI
2011
12 years 10 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
CVPR
1999
IEEE
14 years 12 months ago
Robust Visual Servoing based on Relative Orientation
In this paper the problem of controlling the spatial position and orientation of a robotic platform based on the image data obtained from a video camera mounted on that platform i...
Camillo J. Taylor, James P. Ostrowski, Sang-Hack J...
ICML
2007
IEEE
14 years 10 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
VMCAI
2010
Springer
14 years 7 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
ICDE
2009
IEEE
126views Database» more  ICDE 2009»
14 years 4 months ago
Querying Communities in Relational Databases
— Keyword search on relational databases provides users with insights that they can not easily observe using the traditional RDBMS techniques. Here, an l-keyword query is speciï¬...
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Yufei Tao