Corpus ID: 7922388

Deep Symbolic Representation Learning for Heterogeneous Time-series Classification

@article{Zhang2016DeepSR,
  title={Deep Symbolic Representation Learning for Heterogeneous Time-series Classification},
  author={Shengdong Zhang and Soheil Bahrampour and Naveen Ramakrishnan and Mohak Shah},
  journal={ArXiv},
  year={2016},
  volume={abs/1612.01254}
}
In this paper, we consider the problem of event classification with multi-variate time series data consisting of heterogeneous (continuous and categorical) variables. The complex temporal dependencies between the variables combined with sparsity of the data makes the event classification problem particularly challenging. Most state-of-art approaches address this either by designing hand-engineered features or breaking up the problem over homogeneous variates. In this work, we propose and… Expand
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