From: Ilya Safro [email protected] Date: September 17, 2017 Subject: MLSVM 1.0, Multilevel Support Vector Machines
We are pleased to announce the release of MLSVM 1.0, a library of fast multilevel algorithms for training nonlinear support vector machine models on large-scale datasets. The library is developed as an extension of PETSc to support, among other applications, the analysis of datasets in scientific computing. Highlights: - The best quality/performance trade-off is achieved with algebraic multigrid coarsening - Tested on academic, industrial, and healthcare datasets - Generates multiple models for each training - Effective on imbalanced datasets Download MLSVM at https://github.com/esadr/mlsvm Corresponding paper: Sadrfaridpour, Razzaghi and Safro "Engineering multilevel support vector machines", 2017, https://arxiv.org/pdf/1707.07657.pdf
