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» Probabilistic Partial Evaluation: Exploiting Rule Structure ...
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PVLDB
2008
122views more  PVLDB 2008»
13 years 4 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICML
2009
IEEE
14 years 6 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
11 years 7 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
13 years 8 months ago
Evaluation relaxation using substructural information and linear estimation
The paper presents an evaluation-relaxation scheme where a fitness surrogate automatically adapts to the problem structure and the partial contributions of subsolutions to the fit...
Kumara Sastry, Cláudio F. Lima, David E. Go...
PVLDB
2010
110views more  PVLDB 2010»
13 years 3 months ago
Read-Once Functions and Query Evaluation in Probabilistic Databases
Probabilistic databases hold promise of being a viable means for large-scale uncertainty management, increasingly needed in a number of real world applications domains. However, q...
Prithviraj Sen, Amol Deshpande, Lise Getoor