Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
During the development of methods for cancer diagnosis and treatment, a vast amount of information is generated. Novel cancer target proteins have been identified and many compoun...
Jessica Ahmed, Thomas Meinel, Mathias Dunkel, Manu...
Background: Microarray experiments have become very popular in life science research. However, if such experiments are only considered independently, the possibilities for analysi...
Eric Bareke, Michael Pierre, Anthoula Gaigneaux, B...
The class of algorithms for approximating reasoning tasks presented in this paper is based on approximating the general bucket elimination framework. The algorithms have adjustabl...
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...