|
Class Summary |
| AStar |
This class implements the A* search for finding the
maximum likelihood parameters for GMM. |
| DirectedGraph |
|
| ExptsManager |
|
| FVHeuristic |
This class implements the GMM estimator based on the Fligner-Verducci
heuristic described in "Multistage Ranking Models". |
| GMMEstimator |
This abstract class represents a estimator of the Generalized Mallows
Model. |
| GreedyCSS |
This class implements the GMM estimator based on
the greedy search algorithm of Cohen, Schapire and Singer. |
| GreedyDK |
This class implements the Mallows Model estimator based on the
greedy algorithm of Davenport and Kalagnanam for finding the
modal ranking (the consensus ranking). |
| HeuristicComputer |
|
| InputGenerator |
This class generates instances of the input matrix Q. |
| ItemRank |
|
| Node |
This class represents a node in the search tree being
explored by the A* search algorithm. |
| NodeCSS |
This class represents a node in the search tree being
explored by the greedy CSS algorithm. |
| RandomEstimator |
This class implements a random GMM estimator. |