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» Modeling Relational Data by the Adjacency Model
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ICLP
2009
Springer
14 years 10 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato
JMLR
2010
157views more  JMLR 2010»
13 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...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 9 months ago
Mobile Information Collectors' Trajectory Data Warehouse Design
To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (...
Wided Oueslati, Jalel Akaichi
COMAD
2008
13 years 10 months ago
The Orion Uncertain Data Management System
Orion is a state-of-the-art uncertain database management system that extends the relational model to include probabilistic uncertain data as first call data types. This demonstra...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...
WSC
2004
13 years 10 months ago
Simulation in Context: Using Data Farming for Decision Support
Data Farming leverages high performance computing to run simple models many times. This process allows for the exploration of massive parameter spaces relatively quickly. This pap...
Philip S. Barry, Matthew T. K. Koehler