ListarDepartamento de Informática y Análisis Numérico por tema "Multi-instance learning"
Mostrando ítems 1-2 de 2
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MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
(Elsevier, 2022)MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities ... -
Speeding up Multiple Instance Learning Classification Rules on GPUs
(2017)Multiple instance learning is a challenging task in supervised learning and data mining. How- ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets. Graphics processing ...