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TDP
2010
166views more  TDP 2010»
13 years 5 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
14 years 11 days ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
CORR
2012
Springer
214views Education» more  CORR 2012»
12 years 6 months ago
Sum-Product Networks: A New Deep Architecture
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
Hoifung Poon, Pedro Domingos
ECTEL
2006
Springer
14 years 2 months ago
Socially-Aware Informal Learning Support: Potentials and Challenges of the Social Dimension
With increasingly conceiving learning as a social activity, technological support must become more aware of the social context of the individual in order to be able to provide adeq...
Simone Braun, Andreas Schmidt