MLOSS 2009

7 papers

DL-Learner: Learning Concepts in Description Logics Jens Lehmann

Dlib-Ml: A Machine Learning Toolkit Davis E. King

Java-ML: A Machine Learning Library Thomas Abeel, Yves Van de Peer, Yvan Saeys

Model Monitor (m2): Evaluating, Comparing, and Monitoring Models Troy Raeder, Nitesh V. Chawla

Nieme: Large-Scale Energy-Based Models Francis Maes

Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data Abhik Shah, Peter Woolf

RL-GLUE: Language-Independent Software for Reinforcement-Learning Experiments Brian Tanner, Adam White