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An I/O Efficient Distributed Approximation Framework Using Cluster Sampling.
Xuhong Zhang
Jun Wang
Shouling Ji
Jiangling Yin
Rui Wang
Xiaobo Zhou
Changjun Jiang
Published in:
IEEE Trans. Parallel Distributed Syst. (2019)
Keyphrases
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main contribution
distributed learning
website
distributed systems
multi agent
data structure
lightweight
data sets
data mining
information systems
graphical models
sample size
error bounds
clustering framework
heterogeneous systems
sequential monte carlo