作者: Yong Peng , Wei-Long Zheng , Bao-Liang Lu
DOI: 10.1016/J.NEUCOM.2014.11.097
关键词: Extreme learning machine 、 Multiclass classification 、 Unsupervised learning 、 Machine learning 、 Active learning (machine learning) 、 Discriminative model 、 Wake-sleep algorithm 、 Conceptual clustering 、 Artificial intelligence 、 Computer science 、 Discriminative learning 、 Cluster analysis 、 Semi-supervised learning 、 Pattern recognition 、 Manifold 、 Competitive learning 、 Supervised learning 、 Nonlinear dimensionality reduction
摘要: Abstract Extreme Learning Machine (ELM), which was initially proposed for training single-layer feed-forward networks (SLFNs), provides us a unified efficient and effective framework …