A multi-view ℓ1-norm SVM algorithm for data integration in biological applications
Hema Kumari Achanta, Burook Misganaw, Mathukumalli Vidyasagar · 2017
A multi-view ℓ1-norm Support Vector Machine (SVM) for integrating data from different views to improve binary classification performance in a given view is proposed. The performance of the proposed algorithm is evaluated by integrating biological data from two different gene expression measurement technologies. The experimental results show that the data integration method proposed leads to a better classification performance in comparison to the traditional ℓ1-norm SVM.