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JMLR
2010
157views more  JMLR 2010»
14 years 4 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
2010
ACM
232views Data Mining» more  KDD 2010»
15 years 1 months ago
Discovering frequent patterns in sensitive data
Discovering frequent patterns from data is a popular exploratory technique in data mining. However, if the data are sensitive (e.g. patient health records, user behavior records) ...
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, Abhr...
POPL
2003
ACM
15 years 10 months ago
Discovering affine equalities using random interpretation
We present a new polynomial-time randomized algorithm for discovering affine equalities involving variables in a program. The key idea of the algorithm is to execute a code fragme...
Sumit Gulwani, George C. Necula
76
Voted
ICMLA
2009
14 years 7 months ago
Discovering Characterization Rules from Rankings
For many ranking applications we would like to understand not only which items are top-ranked, but also why they are top-ranked. However, many of the best ranking algorithms (e.g....
Ansaf Salleb-Aouissi, Bert C. Huang, David L. Walt...
100
Voted
SCW
2006
IEEE
15 years 3 months ago
Discovering Semantic Web Services with and without a Common Ontology Commitment
This paper presents an algorithm to match a semantic Web service request against semantic Web service advertisements. The algorithm is to be used by systems to discover semantic W...
Jorge Cardoso