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» A general algorithm for data dependence analysis
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NIPS
2008
15 years 5 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
SIGCOMM
2009
ACM
15 years 10 months ago
Temporal distance metrics for social network analysis
The analysis of social and technological networks has attracted a lot of attention as social networking applications and mobile sensing devices have given us a wealth of real data...
John Tang, Mirco Musolesi, Cecilia Mascolo, Vito L...
PODS
2009
ACM
124views Database» more  PODS 2009»
16 years 4 months ago
Indexing uncertain data
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...
SIGSOFT
2009
ACM
16 years 4 months ago
SCA: a semantic conflict analyzer for parallel changes
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Danhua Shao, Sarfraz Khurshid, Dewayne E. Perry
VCIP
2003
170views Communications» more  VCIP 2003»
15 years 5 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger