Cancer Classification by Correntropy-Based Sparse Compact Incremental Learning Machine
Mojtaba Nayyeri, Hossein Sharifi Noghabi
This paper proposes a sparse compact incremental learning machine for cancer classification using microarray data, achieving high accuracy and gene selection through robust noise handling and sparsity.
bioRxiv · Dec 3, 2015 · PreprintBioinformatics