Multi-class classification SVM methods problem is
multi-classification. We need to solve the multiclassification problem on a dichotomy basis.
Multi-dimentional classification of types and forms of corporate education' corporate education in modern enterprises and on the development of their
classification at the local, scale
Multi-dimentional classification of types and forms of corporate education' corporate education in modern enterprises and on the development of their
classification at the local, scale
Swarm robotics: Remarks on terminology and classification and concepts of adjacent fields including
multi-agent systems,
multi-robot systems and sensor networks.
Multi-agent system for сontrol sound informationThe
multi-agent system for monitoring sound information (MAMS) in the environment is a set
On methods for improving the accuracy of multi-class classification on imbalanced data, the model may be overfitted, which leads to incorrect estimates of object
classification. Thus, in order
MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification, while effective in extracting spatial features, often fail to capture subtle
multi-scale variations
MGFEEN: a multi-granularity feature encoding ensemble network for remote sensing image classification classification accuracy. In this paper, we introduce a
multi-granularity feature encoding ensemble network