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Classification, ranking, and top-K stability of recommendation algorithms
Adomavicius, Gediminas; Zhang, Jingjing - In: INFORMS journal on computing : JOC 28 (2016) 1, pp. 129-147
Persistent link: https://www.econbiz.de/10011453808
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Performance comparison of machine learning platforms
Roy, Asim; Qureshi, Shiban; Pande, Kartikeya; Nair, Divitha - In: INFORMS journal on computing : JOC 31 (2019) 2, pp. 207-225
Persistent link: https://www.econbiz.de/10012036715
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Positive-versus-negative classification for model aggregation in predictive data mining
Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 4, pp. 792-807
Persistent link: https://www.econbiz.de/10010203574
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Base model combination algorithm for resolving tied predictions for K-nearest neighbor OVA ensemble models
Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 517-526
Persistent link: https://www.econbiz.de/10009784055
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Cost-sensitive decision tree induction with label-dependent late constraints
Kao, Hung-pin; Tang, Kwei - In: INFORMS journal on computing : JOC 26 (2014) 2, pp. 238-252
Persistent link: https://www.econbiz.de/10010362445
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Domain adaptation for sentiment classification in light of multiple sources
Fang, Fang; Dutta, Kaushik; Datta, Anindya - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 586-598
Persistent link: https://www.econbiz.de/10010399738
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Machine learning approaches for early DRG classification and resource allocation
Gartner, Daniel; Kolisch, Rainer; Neill, Daniel B.; … - In: INFORMS journal on computing : JOC 27 (2015) 4, pp. 718-734
Persistent link: https://www.econbiz.de/10011422689