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» New Algorithms for Statistical Analysis of Interval Data
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AUTOMATICA
2008
97views more  AUTOMATICA 2008»
14 years 9 months ago
Injectivity analysis using interval analysis: Application to structural identifiability
This paper presents a new numerical algorithm based on interval analysis able to prove that a differentiable function f : A Rn Rn is injective. This algorithm also performs a par...
Sebastien Lagrange, Nicolas Delanoue, Luc Jaulin
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
BMCBI
2007
123views more  BMCBI 2007»
14 years 9 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
BMCBI
2005
112views more  BMCBI 2005»
14 years 9 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
INFOCOM
2009
IEEE
15 years 4 months ago
On Passive One-Way Loss Measurements Using Sampled Flow Statistics
—The ability to scalably measure one-way packet loss across different network paths is vital to IP network management. However, the effectiveness of active-measurement techniques...
Yu Gu, Lee Breslau, Nick G. Duffield, Subhabrata S...