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» New Algorithms for Statistical Analysis of Interval Data
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AUTOMATICA
2008
97views more  AUTOMATICA 2008»
14 years 11 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»
16 years 1 days 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 11 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 11 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 6 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...