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» Practical Preference Relations for Large Data Sets
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FOCS
2004
IEEE
15 years 9 months ago
On the Streaming Model Augmented with a Sorting Primitive
The need to deal with massive data sets in many practical applications has led to a growing interest in computational models appropriate for large inputs. The most important quali...
Gagan Aggarwal, Mayur Datar, Sridhar Rajagopalan, ...
WSC
2004
15 years 7 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 1 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
GRAPHICSINTERFACE
2009
15 years 3 months ago
QuickSelect: history-based selection expansion
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...
Sara L. Su, Sylvain Paris, Frédo Durand
DSS
2007
74views more  DSS 2007»
15 years 6 months ago
Novel information discovery for intelligence and counterterrorism
Intelligence analysts construct hypotheses from large volumes of data, but are often limited by social and organizational norms and their own preconceptions and biases. The use of...
David B. Skillicorn, Nikhil Vats