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SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
15 years 10 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
79
Voted
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 4 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
BMCBI
2008
159views more  BMCBI 2008»
14 years 10 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin
SAC
2009
ACM
15 years 4 months ago
Flexible self-healing gradients
Self-healing gradients are distributed estimates of the distance from each device in a network to the nearest device designated as a source, and are used in many pervasive computi...
Jacob Beal
PE
2002
Springer
176views Optimization» more  PE 2002»
14 years 9 months ago
Effective bandwidth estimation and testing for Markov sources
This work addresses the resource sharing problem in broadband communication networks that can guarantee some quality of service (QoS), and develops some results about data source ...
Juan Pechiar, Gonzalo Perera, María Simon