Online Incremental Feature Learning with Denoising Autoencoders

@inproceedings{Zhou2012OnlineIF,
  title={Online Incremental Feature Learning with Denoising Autoencoders},
  author={Guanyu Zhou and Kihyuk Sohn and Honglak Lee},
  booktitle={AISTATS},
  year={2012}
}
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, which is usually challenging for online learning from a massive stream of data. In this paper, we propose an incremental feature learning algorithm to determine the optimal model complexity for large-scale, online datasets based on the denoising autoencoder. This algorithm is composed of two processes: adding features… CONTINUE READING
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