Hierarchical Topic Model for Tensor Data and Extraction of Weekly and Daily Patterns from Activity Monitor Records

Author:

Nomura Shunichi,Watanabe Michiko,Oguma Yuko

Publisher

Springer International Publishing

Reference17 articles.

1. Asuncion, A., Welling, M., Smyth, P., Teh, Y.W.: On smoothing and inference for topic models. In: Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, pp. 27–34 (2009)

2. Blei, D.M., Jordan, M.I.: Modeling annotated data. In: Proceedings of the 26th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 127–134 (2003)

3. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

4. Durbin, J., Koopman, S.J.: Time Series Analysis by State Space Methods, 2nd edn. Oxford University Press, Oxford (2012)

5. Iwata, T., Sawada, H.: Topic model for analyzing purchase data with price information. Data Min. Knowl. Disc. 26, 559–573 (2013)

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