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AAAI
2011
14 years 7 months ago
Mean Field Inference in Dependency Networks: An Empirical Study
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
Daniel Lowd, Arash Shamaei
EDOC
2011
IEEE
14 years 7 months ago
UML Metamodel-based Workflow Modeling and Execution
—In this paper, we present a UML metamodel-based approach for creating and executing workflow models. The modeling language is introduced through its abstract syntax, and an eval...
Jens Brüning, Martin Gogolla
EDBT
2012
ACM
216views Database» more  EDBT 2012»
13 years 9 months ago
Effectively indexing the multi-dimensional uncertain objects for range searching
The range searching problem is fundamental in a wide spectrum of applications such as radio frequency identification (RFID) networks, location based services (LBS), and global po...
Ying Zhang, Wenjie Zhang, Qianlu Lin, Xuemin Lin
AAAI
2012
13 years 9 months ago
Double-Bit Quantization for Hashing
Hashing, which tries to learn similarity-preserving binary codes for data representation, has been widely used for efficient nearest neighbor search in massive databases due to i...
Weihao Kong, Wu-Jun Li
SPAA
2009
ACM
16 years 7 months ago
Dynamic external hashing: the limit of buffering
Hash tables are one of the most fundamental data structures in computer science, in both theory and practice. They are especially useful in external memory, where their query perf...
Zhewei Wei, Ke Yi, Qin Zhang
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