[petsc-dev] (no subject)

[Barry Smith]

From: Ilya Safro isafro at g.clemson.edu
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