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A two-step learning approach for solving full and almost full cold start problems in dyadic prediction

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MLA
Pahikkala, Tapio, et al. “A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.” ECML PKDD 2014 : Machine Learning and Knowledge Discovery in Databases, vol. 8725, Springer, 2014, pp. 517–32, doi:10.1007/978-3-662-44851-9_33.
APA
Pahikkala, T., Stock, M., Airola, A., Aittokallio, T., De Baets, B., & Waegeman, W. (2014). A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. ECML PKDD 2014 : Machine Learning and Knowledge Discovery in Databases, 8725, 517–532. https://doi.org/10.1007/978-3-662-44851-9_33
Chicago author-date
Pahikkala, Tapio, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, and Willem Waegeman. 2014. “A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.” In ECML PKDD 2014 : Machine Learning and Knowledge Discovery in Databases, 8725:517–32. Berlin, Germany: Springer. https://doi.org/10.1007/978-3-662-44851-9_33.
Chicago author-date (all authors)
Pahikkala, Tapio, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, and Willem Waegeman. 2014. “A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.” In ECML PKDD 2014 : Machine Learning and Knowledge Discovery in Databases, 8725:517–532. Berlin, Germany: Springer. doi:10.1007/978-3-662-44851-9_33.
Vancouver
1.
Pahikkala T, Stock M, Airola A, Aittokallio T, De Baets B, Waegeman W. A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. In: ECML PKDD 2014 : machine learning and knowledge discovery in databases. Berlin, Germany: Springer; 2014. p. 517–32.
IEEE
[1]
T. Pahikkala, M. Stock, A. Airola, T. Aittokallio, B. De Baets, and W. Waegeman, “A two-step learning approach for solving full and almost full cold start problems in dyadic prediction,” in ECML PKDD 2014 : machine learning and knowledge discovery in databases, Nancy, France, 2014, vol. 8725, pp. 517–532.
@inproceedings{8513883,
  author       = {{Pahikkala, Tapio and Stock, Michiel and Airola, Antti and Aittokallio, Tero and De Baets, Bernard and Waegeman, Willem}},
  booktitle    = {{ECML PKDD 2014 : machine learning and knowledge discovery in databases}},
  isbn         = {{9783662448502}},
  issn         = {{0302-9743}},
  language     = {{eng}},
  location     = {{Nancy, France}},
  pages        = {{517--532}},
  publisher    = {{Springer}},
  title        = {{A two-step learning approach for solving full and almost full cold start problems in dyadic prediction}},
  url          = {{http://dx.doi.org/10.1007/978-3-662-44851-9_33}},
  volume       = {{8725}},
  year         = {{2014}},
}

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