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» Social Network Discovery Based on Sensitivity Analysis
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WWW
2010
ACM
14 years 2 months ago
Measurement and analysis of an online content voting network: a case study of Digg
In online content voting networks, aggregate user activities (e.g., submitting and rating content) make high-quality content thrive through the unprecedented scale, high dynamics ...
Yingwu Zhu
JMLR
2006
389views more  JMLR 2006»
13 years 7 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
PERCOM
2005
ACM
14 years 7 months ago
Expose or Not? A Progressive Exposure Approach for Service Discovery in Pervasive Computing Environments
In pervasive computing environments, service discovery facilitates users to access network services by automating tedious manual configurations. When network services becomes perv...
Feng Zhu, Wei Zhu, Matt W. Mutka, Lionel M. Ni
WWW
2006
ACM
14 years 8 months ago
An integrated method for social network extraction
A social network can become bases for information infrastructure in the future. It is important to extract social networks that are not biased. Providing a simple means for users ...
Tom Hope, Takuichi Nishimura, Hideaki Takeda
PVLDB
2011
13 years 2 months ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...