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Active learning for object classification: from exploration to exploitation
2008
Data mining and knowledge discovery
Classifying large data sets without any a-priori information poses a problem in numerous tasks. Especially in industrial environments, we often encounter diverse measurement devices and sensors that produce huge amounts of data, but we still rely on a human expert to help give the data a meaningful interpretation. As the amount of data that must be manually classified plays a critical role, we need to reduce the number of learning episodes involving human interactions as much as possible. In
doi:10.1007/s10618-008-0115-0
fatcat:4yaq3ifmxnh77j6trvd73xsn44