PINHEIRO, Maria Eduarda, BURGARD, Jan Pablo, BURGARD, Jan Pablo, SCHMIDT, Martin und ROMERO MORALES, Dolores, 2024. Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests. Trier: Universität Trier.
Elsevier - Harvard (with titles)Pinheiro, M.E., Burgard, J.P., Burgard, J.P., Schmidt, M., Romero Morales, D., 2024. Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests. Universität Trier, Trier. 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
Springer - Basic (author-date)Pinheiro ME, Burgard JP, Burgard JP, Schmidt M, Romero Morales D (2024) Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests. Universität Trier
Juristische Zitierweise (Stüber) (Deutsch)Pinheiro, Maria Eduarda/ Burgard, Jan Pablo/ Burgard, Jan Pablo/ Schmidt, Martin/ Romero Morales, Dolores, Mixed-Integer Optimization for Semi-Supervised Learning with Cardinality Constraints: Support Vector Machines, Classification Trees, and Random Forests, Trier 2024.