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JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
KDD
2004
ACM
170views Data Mining» more  KDD 2004»
14 years 8 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
DBSEC
2006
115views Database» more  DBSEC 2006»
13 years 9 months ago
Creating Objects in the Flexible Authorization Framework
Access control is a crucial concern to build secure IT systems and, more specifically, to protect the confidentiality of information. However, access control is necessary, but not ...
Nicola Zannone, Sushil Jajodia, Duminda Wijesekera
ICDE
2008
IEEE
130views Database» more  ICDE 2008»
14 years 9 months ago
Efficient Computation of Diverse Query Results
We study the problem of efficiently computing diverse query results in online shopping applications, where users specify queries through a form interface that allows a mix of stru...
Erik Vee, Utkarsh Srivastava, Jayavel Shanmugasund...
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...