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» On Structural Analysis of Large Networks
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ICML
2010
IEEE
15 years 7 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
INFOCOM
2005
IEEE
16 years 5 days ago
New insights from a fixed point analysis of single cell IEEE 802.11 WLANs
— We study a fixed point formalisation of the well known analysis of Bianchi [3]. We provide a significant simplification and generalisation of the analysis. In this more gene...
Anurag Kumar, Eitan Altman, Daniele Miorandi, Muni...
BMCBI
2007
148views more  BMCBI 2007»
15 years 6 months ago
Toward the automated generation of genome-scale metabolic networks in the SEED
Background: Current methods for the automated generation of genome-scale metabolic networks focus on genome annotation and preliminary biochemical reaction network assembly, but d...
Matthew DeJongh, Kevin Formsma, Paul Boillot, John...
PAMI
2011
14 years 9 months ago
Meta-Recognition: The Theory and Practice of Recognition Score Analysis
Abstract—In this paper, we define meta-recognition, a performance prediction method for recognition algorithms, and examine the theoretical basis for its post-recognition score ...
Walter J. Scheirer, Anderson Rocha, Ross J. Michea...
ICC
2008
IEEE
128views Communications» more  ICC 2008»
16 years 1 months ago
Mutual Information and Energy Tradeoff in Correlated Wireless Sensor Networks
— We consider comparison of Mutual Information (MI)-Energy tradeoff in correlated wireless sensor network (WSN) for cooperative multiple input and multiple output (MIMO) and non-...
Laxminarayana S. Pillutla, Vikram Krishnamurthy