4 papers · 1 filter
Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning
Suzhen Yuan, Qilin Xie, Lifeng Shen +3
Quantum clustering aims to exploit quantum feature representations to uncover complex data structures beyond conventional Euclidean geometry. Yet this sample-level kernel construct…
QGB-WNN: Quantum Granular-Ball Learning for Robust Classification
Suzhen Yuan, Dehang Chen, Lifeng Shen +2
Nearest-neighbor classification is widely used in machine learning, yet existing methods often suffer from low computational efficiency and limited robustness in noisy environments…
Adaptive Nearest Neighbors Classifier via Granular Ball Computing
Xiaoyu Lian, Shuyin Xia, Hongxuan He +3
The -Nearest Neighbor~(KNN) algorithm is widely used across various tasks. The selection of the value is a key issue because it significantly impacts performance. In this pa…
Mastering the Minority: An Uncertainty-guided Multi-Expert Framework for Challenging-tailed Sequence Learning
Ye Wang, Zixuan Wu, Lifeng Shen +4
Imbalanced data distribution remains a critical challenge in sequential learning, leading models to easily recognize frequent categories while failing to detect minority classes ad…