Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms

Cite

Text

Vidovic et al. "Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015. doi:10.1007/978-3-319-23525-7_9

Markdown

[Vidovic et al. "Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2015.](https://mlanthology.org/ecmlpkdd/2015/vidovic2015ecmlpkdd-opening/) doi:10.1007/978-3-319-23525-7_9

BibTeX

@inproceedings{vidovic2015ecmlpkdd-opening,
  title     = {{Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms}},
  author    = {Vidovic, Marina M.-C. and Görnitz, Nico and Müller, Klaus-Robert and Rätsch, Gunnar and Kloft, Marius},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2015},
  pages     = {137-153},
  doi       = {10.1007/978-3-319-23525-7_9},
  url       = {https://mlanthology.org/ecmlpkdd/2015/vidovic2015ecmlpkdd-opening/}
}