Overview
RUMBLE (RUle and Margin Based LEarner) is a statistically motivated rule learning system based on the Margin Minus Variance (MMV) approach. It is set up very flexible as it can make use of different plugins (e.g. FTM plugin, PROLOG plugin, Meta plugin) for different kinds of rules. Therefore RUMBLE can handle various different kinds of data.
More detail:
http://wwwkramer.in.tum.de/research/machine_learning/margin_based
- Subproject of: OpenTox
- Data: No
- Software: Yes
- Programming language: C++
- Operating system: linux
- Dependencies: OpenBabel, (prolog)
- Interface: command line
- Inter-process communication: File IO
- Input format: ARFF, txt, (XML planned)
- Output format: txt
Issue tracking
- Deliverables: 0 open on 0
- Bugs: 0 open on 0
- Features: 0 open on 0
- Tests: 0 open on 0
Members
Workpackage leaders:
Stefan Kramer
Consortium members:
Fabian Buchwald, Tobias Girschick, Lothar Richter