/** \mainpage Reference manual for libDAI - A free/open source C++ library for Discrete Approximate Inference methods
- * \author Joris Mooij, Frederik Eaton
+ * \author Joris Mooij (with contributions of Frederik Eaton)
* \version git HEAD
* \date May 12, 2010, or later
*
* and to easily compare the accuracy and performance with existing algorithms
* that have been implemented already.
*
+ * A solver using libDAI was amongst the three winners of the UAI 2010 Approximate
+ * Inference Challenge (see http://www.cs.huji.ac.il/project/UAI10/ for more
+ * information). The full source code is provided as part of the library.
+ *
* \section features Features
* Currently, libDAI supports the following (approximate) inference methods:
* - Exact inference by brute force enumeration;
* - Loop Corrected Belief Propagation: dai::MR [\ref MoR05] and dai::LC [\ref MoK07]
* - Gibbs sampling: dai::Gibbs
* - Conditioned Belief Propagation: dai::CBP [\ref EaG09]
- * - Decimation algorithm: dai::DECMAP
+ * - Decimation algorithm: dai::DecMAP
*
* Not all inference tasks are implemented by each method: calculating MAP states
* is only possible with dai::JTree, dai::BP and dai::DECMAP; calculating partition sums is