Pinheiro, M.E., Burgard, J.P., Burgard, J.P., Schmidt, M. and Romero Morales, D. (2024) Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests [cd]. Universität Trier. doi:urn:nbn:de:hbz:385-1-23957.
Chicago Manual of Style 17th edition (full note)Pinheiro, Maria Eduarda, Jan Pablo Burgard, Jan Pablo Burgard, Martin Schmidt, and Dolores Romero Morales. “Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests”. Cd. Universität Trier, [2024?], Universität Trier, [2024?]. https://doi.org/urn:nbn:de:hbz:385-1-23957.
American Psychological Association 7th editionPinheiro, M. E., Burgard, J. P., Burgard, J. P., Schmidt, M., & Romero Morales, D. (ca. 2024). Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests [Universität Trier; Cd]. https://doi.org/urn:nbn:de:hbz:385-1-23957
Modern Language Association 9th editionPinheiro, M. E., J. P. Burgard, J. P. Burgard, M. Schmidt, and D. Romero Morales. Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests. cd, Universität Trier, 2024, https://doi.org/urn:nbn:de:hbz:385-1-23957.
ISO-690 (author-date, Deutsch)PINHEIRO, Maria Eduarda, Jan Pablo BURGARD, Jan Pablo BURGARD, Martin SCHMIDT and Dolores ROMERO MORALES, 2024. Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests. Trier: Universität Trier