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» Approximating Transitivity in Directed Networks
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107
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BMCBI
2006
117views more  BMCBI 2006»
15 years 16 days ago
A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kineti
Background: Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living ...
I. Emrah Nikerel, Wouter A. van Winden, Walter M. ...
96
Voted
ICNP
2003
IEEE
15 years 5 months ago
The Temporal and Topological Characteristics of BGP Path Changes
BGP has been deployed in Internet for more than a decade. However, the events that cause BGP topological changes are not well understood. Although large traces of routing updates ...
Di-Fa Chang, Ramesh Govindan, John S. Heidemann
103
Voted
MP
2007
100views more  MP 2007»
15 years 6 hour ago
Power optimization for connectivity problems
Given a graph with costs on the edges, the power of a node is the maximum cost of an edge leaving it, and the power of the graph is the sum of the powers of the nodes of this graph...
Mohammad Taghi Hajiaghayi, Guy Kortsarz, Vahab S. ...
123
Voted
ADHOCNOW
2009
Springer
15 years 1 months ago
On Minimizing the Maximum Sensor Movement for Barrier Coverage of a Line Segment
We consider n mobile sensors located on a line containing a barrier represented by a finite line segment. Sensors form a wireless sensor network and are able to move within the lin...
Jurek Czyzowicz, Evangelos Kranakis, Danny Krizanc...
99
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 27 days ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi