Machine Learning Under Resource Constraints - Applications

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...

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Detalles Bibliográficos
Autores principales: Katharina Morik, Jörg Rahnenführer, Christian Wietfeld
Formato: Libro
Publicado: De Gruyter 2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost