In this paper a model of the classification task, based on the Monte Carlo theory of stochastic algorithms is presented. The model allows different classification paradigms to be described, such as the single classifier, the ensemble, and the crowdsourcing ones. Some experimental work validates the theoretical predictions about the relatioship between the mean and variance of the classification accuracy and the number of classifiers.
Classification: From Expert to Ensemble to Crowds
SAITTA, Lorenza
2014-01-01
Abstract
In this paper a model of the classification task, based on the Monte Carlo theory of stochastic algorithms is presented. The model allows different classification paradigms to be described, such as the single classifier, the ensemble, and the crowdsourcing ones. Some experimental work validates the theoretical predictions about the relatioship between the mean and variance of the classification accuracy and the number of classifiers.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
