1. Compressed classification learning with Markov chain samples
Feilong Cao, Tenghui Dai, Yongquan Zhang, Yuanpeng Tan
2. Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks
Ancai Zhang, Jianlong Qiu, Jinhua She
3. Pointwise probability reinforcements for robust statistical inference
Benoît Frénay, Michel Verleysen
4. Robust support vector machine-trained fuzzy system
Yahya Forghani, Hadi Sadoghi Yazdi
5. A linear recurrent kernel online learning algorithm with sparse updates
Haijin Fan, Qing Song
6. A one-layer recurrent neural network for constrained nonsmooth invex optimization
Guocheng Li, Zheng Yan, Jun Wang
7. Semi-supervised learning of class balance under class-prior change by distribution matching
Marthinus Christoffel du Plessis, Masashi Sugiyama
8. Batch gradient method with smoothing image regularization for training of feedforward neural networks
Wei Wu, Qinwei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu
