OPTIMISING MACHINE LEARNING TECHNIQUES FOR IRREGULAR SAMPLING

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Detalles Bibliográficos
Publicado en:	Lex Localis vol. 23, no. S5 (2025), p. 1126-1143
Autor principal:	Xu, Zhenyu
Otros Autores:	Riazifar, Negar
Publicado:	Institute for Local Self-Government and Public Procurement Maribor
Materias:	Machine learning Data processing Accuracy Reliability Partial differential equations Datasets Specific language impairment Sampling Sampling techniques Trade Models Variables Data Feature selection Geographic information systems Methods Algorithms Statistics
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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