Maximum Entropy Modelling for Assessing Results on Real-Valued Data

Akis Kontonasios, Jilles Vreeken, Tijl De Bie. Maximum Entropy Modelling for Assessing Results on Real-Valued Data. Proceedings of the IEEE International Conference on Data Mining (ICDM'11), 2011.

Accepted as full paper at ICDM.
(Overall acceptance rate: 18%. Acceptance rate for full papers: 12%.)

See here for the code.