#include <SimpleKLDocModel.hpp>
Public Attributes | |
| double | qryNoise |
| query noise coefficient. | |
| enum QueryUpdateMethod | fbMethod |
| query model re-estimation/updating method. | |
| double | fbCoeff |
| Q_new = (1-fbCoeff)*Q_old + fbCoeff*FBModel. | |
| int | fbTermCount |
| how many terms to use for the re-estimated query model. | |
| double | fbPrTh |
| feedback query model term probability threshold (only terms with a higher prob. will be used. | |
| double | fbPrSumTh |
| feedback query model prob. sum threshold (taking terms up to the point, where the accumulated prob. mass exceeds the threshold. | |
| double | fbMixtureNoise |
| collection influence coefficient (e.g., in mixture model and divergence minimization methods). | |
| int | emIterations |
|
|
|
|
|
Q_new = (1-fbCoeff)*Q_old + fbCoeff*FBModel.
|
|
|
query model re-estimation/updating method.
|
|
|
collection influence coefficient (e.g., in mixture model and divergence minimization methods).
|
|
|
feedback query model prob. sum threshold (taking terms up to the point, where the accumulated prob. mass exceeds the threshold.
|
|
|
feedback query model term probability threshold (only terms with a higher prob. will be used.
|
|
|
how many terms to use for the re-estimated query model.
|
|
|
query noise coefficient.
|
1.2.4 written by Dimitri van Heesch,
© 1997-2000