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Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Weiqi Chen
Zhifeng Hao
Ruichu Cai
Xiangzhou Zhang
Yong Hu
Mei Liu
Published in:
Soft Comput. (2016)
Keyphrases
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discrete data
structure learning
high dimensional
graphical models
continuous data
bayesian networks
nearest neighbor
natural language processing
parameter estimation
data sets
knowledge discovery
dimensionality reduction
low dimensional
transfer learning