-
1Electronic Resource
Συγγραφείς: Savcisens, Germans, orcid:0000-0002-5811-, Eliassi-Rad, Tina
Θεματικοί όροι: EuroSciVoc: Machine learning, EuroSciVoc: Mathematical logic, EuroSciVoc: Artificial intelligence, EuroSciVoc: Computer and information sciences, EuroSciVoc: Social sciences, EuroSciVoc: Computational science, GEMET: Interpretation method, MeSH: Supervised Machine Learning, MeSH: Machine Learning/classification, MeSH: Supervised Machine Learning/classification, MeSH: Artificial Intelligence, MeSH: Algorithms, Python, Python Package, Multiple-instance learning, SVM, sAwMIL, Kernel methods
Relation: https://github.com/garydoranjr/misvm; https://github.com/carlomarxdk/trilemma-of-truth; https://zenodo.org/records/17103153; oai:zenodo.org:17103153; https://github.com/carlomarxdk/sawmil; https://doi.org/10.5281/zenodo.17103153
-
2Electronic Resource
Συγγραφείς: Savcisens, Germans, orcid:0000-0002-5811-, Eliassi-Rad, Tina
Θεματικοί όροι: EuroSciVoc: Machine learning, EuroSciVoc: Mathematical logic, EuroSciVoc: Artificial intelligence, EuroSciVoc: Computer and information sciences, EuroSciVoc: Social sciences, EuroSciVoc: Computational science, GEMET: Interpretation method, MeSH: Supervised Machine Learning, MeSH: Machine Learning/classification, MeSH: Supervised Machine Learning/classification, MeSH: Artificial Intelligence, MeSH: Algorithms, Python, Python Package, Multiple-instance learning, SVM, sAwMIL, Kernel methods
Relation: https://github.com/garydoranjr/misvm; https://github.com/carlomarxdk/trilemma-of-truth; https://zenodo.org/records/17103148; oai:zenodo.org:17103148; https://github.com/carlomarxdk/sawmil; https://doi.org/10.5281/zenodo.17103148
-
3Electronic Resource
Συγγραφείς: Savcisens, Germans, orcid:0000-0002-5811-, Eliassi-Rad, Tina
Θεματικοί όροι: EuroSciVoc: Machine learning, EuroSciVoc: Mathematical logic, EuroSciVoc: Artificial intelligence, EuroSciVoc: Computer and information sciences, EuroSciVoc: Social sciences, EuroSciVoc: Computational science, GEMET: Interpretation method, MeSH: Supervised Machine Learning, MeSH: Machine Learning/classification, MeSH: Supervised Machine Learning/classification, MeSH: Artificial Intelligence, MeSH: Algorithms, Python, Python Package, Multiple-instance learning, SVM, sAwMIL, Kernel methods
Relation: https://github.com/garydoranjr/misvm; https://github.com/carlomarxdk/trilemma-of-truth; https://zenodo.org/records/17000053; oai:zenodo.org:17000053; https://github.com/carlomarxdk/sawmil; https://doi.org/10.5281/zenodo.17000053
-
4Electronic Resource
Συγγραφείς: Savcisens, Germans, orcid:0000-0002-5811-, Eliassi-Rad, Tina
Θεματικοί όροι: EuroSciVoc: Machine learning, EuroSciVoc: Mathematical logic, EuroSciVoc: Artificial intelligence, EuroSciVoc: Computer and information sciences, EuroSciVoc: Social sciences, EuroSciVoc: Computational science, GEMET: Interpretation method, MeSH: Supervised Machine Learning, MeSH: Machine Learning/classification, MeSH: Supervised Machine Learning/classification, MeSH: Artificial Intelligence, MeSH: Algorithms, Python, Python Package, Multiple-instance learning, SVM, sAwMIL, Kernel methods
Relation: https://github.com/garydoranjr/misvm; https://github.com/carlomarxdk/trilemma-of-truth; https://zenodo.org/records/17000032; oai:zenodo.org:17000032; https://github.com/carlomarxdk/sawmil; https://doi.org/10.5281/zenodo.17000032
-
5Electronic Resource
Συγγραφείς: Savcisens, Germans, orcid:0000-0002-5811-, Eliassi-Rad, Tina
Θεματικοί όροι: EuroSciVoc: Machine learning, EuroSciVoc: Mathematical logic, EuroSciVoc: Artificial intelligence, EuroSciVoc: Computer and information sciences, EuroSciVoc: Social sciences, EuroSciVoc: Computational science, GEMET: Interpretation method, MeSH: Supervised Machine Learning, MeSH: Machine Learning/classification, MeSH: Supervised Machine Learning/classification, MeSH: Artificial Intelligence, MeSH: Algorithms, Python, Python Package, Multiple-instance learning, SVM, sAwMIL, Kernel methods
Relation: https://github.com/garydoranjr/misvm; https://github.com/carlomarxdk/sawmil/tree/v0.1.8a; https://zenodo.org/records/16996739; oai:zenodo.org:16996739; https://github.com/carlomarxdk/sawmil; https://doi.org/10.5281/zenodo.16996739