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Adaptación de Dominio de Conjunto Abierto mediante Coincidencia de Distribución Conjunta Conocida y Reformulación del
IEEE transactions on neural networks and learning systems
|January 14, 2026
Resumen
La adaptación de dominio de conjunto abierto (OSDA) se aborda con el nuevo enfoque KMUR, que empareja distribuciones conocidas y reformula riesgos desconocidos para mejorar los modelos de aprendizaje automático. Este método mejora la precisión de la clasificación al abordar las diferencias entre origen y destino y los desafíos de las clases desconocidas.
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