Combining multi-distributed mixture models and bayesian networks for semi-supervised learning

Manuel Stritt, Lars Schmidt-Thieme, Gerhard Poeppel. Combining multi-distributed mixture models and bayesian networks for semi-supervised learning. In M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez, editors, The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. pages 354-362, IEEE Computer Society, 2007. [doi]

@inproceedings{StrittSP07,
  title = {Combining multi-distributed mixture models and bayesian networks for semi-supervised learning},
  author = {Manuel Stritt and Lars Schmidt-Thieme and Gerhard Poeppel},
  year = {2007},
  doi = {10.1109/ICMLA.2007.60},
  url = {http://dx.doi.org/10.1109/ICMLA.2007.60},
  researchr = {https://researchr.org/publication/StrittSP07},
  cites = {0},
  citedby = {0},
  pages = {354-362},
  booktitle = {The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007},
  editor = {M. Arif Wani and Mehmed M. Kantardzic and Tao Li and Ying Liu and Lukasz A. Kurgan and Jieping Ye and Mitsunori Ogihara and Seref Sagiroglu and Xue-wen Chen and Leif E. Peterson and Khalid Hafeez},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-3069-9},
}