# MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning

arXiv: https://arxiv.org/abs/2402.08056 · HTML: https://mlsanity.com/paper/2402.08056/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 40 references that are in the map.
- First posted on arXiv 12 Feb 2024.

## Builds on (most cited first, 1 of 1)

- [Fast Multi-Instance Multi-Label Learning](https://mlsanity.com/paper/1310.2049/) (2013)

## Abstract (arXiv)

MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities for data managing and partitioning, holdout and cross-validation methods, standard metrics for performance evaluation, and generation of reports. In addition, algorithms can be executed through xml configuration files without needing to program. It is platform-independent, extensible, free, open-source, and available on GitHub under the GNU General Public License.