1077 search results - page 175 / 216 » Learning network structure from passive measurements |
143
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...
164
Voted
AI
2010
Springer
15 years 3 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
131
Voted
SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
151
Voted
MLMI
2005
Springer
15 years 9 months ago
2005
Springer
Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
123
Voted
HT
2005
ACM
15 years 9 months ago
2005
ACM
We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...