1183 search results - page 27 / 237 » Learning Process Models with Missing Data |
CPHYSICS
2006
15 years 1 months ago
2006
We study the relation between the acquisition and analysis of data and quantum theory using a probabilistic and deterministic model for photon polarizers. We introduce criteria fo...
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...
101
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IQ
2007
15 years 2 months ago
2007
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
201
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SIGMOD
2007
ACM
16 years 1 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...