Neighborhood rough set model is considered as one of the effective granular computing
models in dealing with numerical data. This model is now widely discussed in feature …

Smart embedded systems often run sophisticated pattern recognition algorithms and are
found in many areas like automotive, sports and medicine. The developer of such a system …

Zusammenfassung Tragbare Sportler-Assistenz-Systeme sind eine weit verbreitete
Technologie zur Leistungssteigerung im Sport. Die komplexe Signal-und Datenverarbeitung …

Cascade learning with abstention and individualised feature selection is a class of models in
high demand in personalised medical applications. The cascade consists of sequential …

This paper proposes a simple yet effective algorithm for optimizing a trained linear classifier
to minimize the average feature acquisition cost at test-time. For good classification …

合成少数类过采样技术(SyntheticMinorityOversamplingTechnique, SMOTE)
是一种著名的过采样方法, 但是它没有考虑样本的分布和潜在的噪声数据. 为了改善SMOTE …

Traditional radar target recognition algorithms utilize balance data set to train the classifier
and achieve a satisfactory result on a balance test data set. However, in the case of non …