Regularization Through Feature Knock Out

In this paper, we present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of the original data. The motivation is that since the learning algorithm lacks information about which parts of thedata are reliable, it has to produce more robust classificat...

Полное описание

Библиографические подробности
Главные авторы: Wolf, Lior, Martin, Ian
Язык:en_US
Опубликовано: 2005
Предметы:
AI
Online-ссылка:http://hdl.handle.net/1721.1/30502