A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
- Author
- Tapio Pahikkala, Michiel Stock (UGent) , Antti Airola, Tero Aittokallio, Bernard De Baets (UGent) and Willem Waegeman (UGent)
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8513883
- 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://doi.org/10.1007/978-3-662-44851-9_33}},
volume = {{8725}},
year = {{2014}},
}
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