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» Inferring networks of diffusion and influence
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73
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ECIS
2001
14 years 11 months ago
Internet Technology Diffusion: Adoption of IPV6
With the explosive growth of the Internet in the 1990s, the scalability of current technologies has become a significant issue. The current version of Internet Protocol version 4 ...
Anat Hovav, Ravi Patnayakuni, David Schuff
CORR
2010
Springer
151views Education» more  CORR 2010»
14 years 9 months ago
On the Convexity of Latent Social Network Inference
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
Seth A. Myers, Jure Leskovec
96
Voted
IJUFKS
2000
111views more  IJUFKS 2000»
14 years 9 months ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
IDA
2009
Springer
14 years 7 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
68
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AAAI
2000
14 years 11 months ago
Sampling Methods for Action Selection in Influence Diagrams
Sampling has become an important strategy for inference in belief networks. It can also be applied to the problem of selecting actions in influence diagrams. In this paper, we pre...
Luis E. Ortiz, Leslie Pack Kaelbling