Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications

Florian Lemmerich, Philipp Singer, Martin Becker, Lisette Espin Noboa, Dimitar Dimitrov, Denis Helic, Andreas Hotho, Markus Strohmaier

ECML-PKDD 2017 pp. 354-357

doi:10.1007/978-3-319-71273-4_30 /ecmlpkdd/2017/lemmerich2017ecmlpkdd-comparing/

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Text

Lemmerich et al. "Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71273-4_30

Markdown

[Lemmerich et al. "Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/lemmerich2017ecmlpkdd-comparing/) doi:10.1007/978-3-319-71273-4_30

BibTeX

@inproceedings{lemmerich2017ecmlpkdd-comparing,
  title     = {{Comparing Hypotheses About Sequential Data: A Bayesian Approach and Its Applications}},
  author    = {Lemmerich, Florian and Singer, Philipp and Becker, Martin and Noboa, Lisette Espin and Dimitrov, Dimitar and Helic, Denis and Hotho, Andreas and Strohmaier, Markus},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2017},
  pages     = {354-357},
  doi       = {10.1007/978-3-319-71273-4_30},
  url       = {https://mlanthology.org/ecmlpkdd/2017/lemmerich2017ecmlpkdd-comparing/}
}