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PODS
2012
ACM
240views Database» more  PODS 2012»
13 years 8 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
ESWS
2009
Springer
16 years 21 days ago
SCOVO: Using Statistics on the Web of Data
Statistical data is present everywhere—from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, an...
Michael Hausenblas, Wolfgang Halb, Yves Raimond, L...
BMCBI
2010
176views more  BMCBI 2010»
15 years 6 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
WSC
1998
15 years 7 months ago
Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
For large investment projects sensitivity analysis is an important tool to determine which factors need further analysis and/or can jeopardize the future of a project. In practice...
Willem J. H. Van Groenendaal, Jack P. C. Kleijnen
MICCAI
2009
Springer
16 years 7 months ago
Building Shape Models from Lousy Data
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Marcel Lüthi, Thomas Albrecht, Thomas Vetter