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» On Randomness Measures for Social Networks.
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IJON
2002
69views more  IJON 2002»
15 years 6 months ago
Point-conductance models of cortical neurons with high discharge variability
Recent in vivo intracellular measurements indicate that cortical neurons operate in a highconductance state mainly caused by intense network activity. Biophysical models of morpho...
Michael Rudolph, Alain Destexhe
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
16 years 19 days ago
Local Probabilistic Models for Link Prediction
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
Chao Wang, Venu Satuluri, Srinivasan Parthasarathy
CORR
2006
Springer
95views Education» more  CORR 2006»
15 years 6 months ago
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus
PODC
2010
ACM
15 years 10 months ago
Bayesian ignorance
We quantify the effect of Bayesian ignorance by comparing the social cost obtained in a Bayesian game by agents with local views to the expected social cost of agents having glob...
Noga Alon, Yuval Emek, Michal Feldman, Moshe Tenne...
PR
2011
14 years 9 months ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...