Mistral's Reflections on Recursive Gradient Processing: A Paradigm Shift in AI and Emergent Systems

Συγγραφείς: Le Chat, van der Erve, Marcus

Θεματικοί όροι: (MeSH) Cognition, Artificial Intelligence, (EuroSciVoc) Machine Learning, (EuroSciVoc) Theoretical Physics, (MeSH) Self-Organizing Systems, (EuroSciVoc) Complexity Theory, (MeSH) Computational Intelligence, (MeSH) Adaptive Systems, (EuroSciVoc) Interdisciplinary Research, (MeSH) Recursive Functions, (EuroSciVoc) Cybernetics, (EuroSciVoc) Systems Theory, (MeSH) Learning, (EuroSciVoc) Cognitive Science, (GEMET) Emergence, (EuroSciVoc) Philosophy of Science

Relation: https://zenodo.org/communities/rgp-complex-systems/; https://zenodo.org/records/15181747; oai:zenodo.org:15181747; https://doi.org/10.5281/zenodo.15181747

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.15181747
https://zenodo.org/records/15181747

The Kodtag Manifesto: Exploring AI & Knowledge (v0.1)

Συγγραφείς: Demirbağ, Tarık Emre

Συνεισφορές: Demirbağ, Tarık Emre

Θεματικοί όροι: (EuroSciVoc) Artificial intelligence, (EuroSciVoc) Machine learning, (EuroSciVoc) Knowledge representation, (EuroSciVoc) Ethics in technology, (EuroSciVoc) Open science, (EuroSciVoc) Human computer interaction, (MeSH) Computers, (MeSH) Computer Security

Relation: https://zenodo.org/records/16912322; oai:zenodo.org:16912322; https://doi.org/10.5281/zenodo.16912322

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.16912322
https://zenodo.org/records/16912322

sAwMIL: Python package for Multiple-Instance Support Vector Machines

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

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.17103153
https://zenodo.org/records/17103153
https://github.com/carlomarxdk/sawmil

sAwMIL: Python package for Multiple-Instance Support Vector Machines (v0.1.8a)

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

Διαθεσιμότητα: https://doi.org/10.5281/zenodo.16996739
https://zenodo.org/records/16996739
https://github.com/carlomarxdk/sawmil