Pinheiro, 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]. Universität Trier, Trier. https://doi.org/urn:nbn:de:hbz:385-1-23957
ISO-690 (author-date, English)PINHEIRO, Maria Eduarda, BURGARD, Jan Pablo, BURGARD, Jan Pablo, SCHMIDT, Martin and 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.
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.
Mohr Siebeck - Recht (Deutsch - Österreich)Emerald - Harvard
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, Universität Trier, Trier, available at:https://doi.org/urn:nbn:de:hbz:385-1-23957.