- Tytuł:
- On Mean Squared Error of Hierarchical Estimator
- Autorzy:
- Brodowski, Stanisław
- Powiązania:
- https://bibliotekanauki.pl/articles/1373498.pdf
- Data publikacji:
- 2011
- Wydawca:
- Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
- Tematy:
-
Hierarchial Estimator
hierarchical model
regression
function approximation
error
theorem - Opis:
- In this paper a new theorem about components of the mean squared error of Hierarchical Estimator is presented. Hierarchical Estimator is a machine learning meta-algorithm that attempts to build, in an incremental and hierarchical manner, a tree of relatively simple function estimators and combine their results to achieve better accuracy than any of the individual ones. The components of the error of a node of such a tree are: weighted mean of the error of the estimator in a node and the errors of children, a non-positive term that descreases below 0 if children responses on any example dier and a term representing relative quality of an internal weighting function, which can be conservatively kept at 0 if needed. Guidelines for achieving good results based on the theorem are brie discussed.
- Źródło:
-
Schedae Informaticae; 2011, 20; 83-99
0860-0295
2083-8476 - Pojawia się w:
- Schedae Informaticae
- Dostawca treści:
- Biblioteka Nauki
Artykuł