IEEE Trans Neural Netw Learn Syst

Interpretable Design of Reservoir Computing Networks Using Realization Theory.

Cellular Automata Can Reduce Memory Requirements of Collective-State Computing

细胞自动机可以减少集体状态计算的内存需求

An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis.

A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.

Scaling up graph-based semisupervised learning via prototype vector machines.

通过原型向量机扩展基于图的半监督学习