Minimisation of data collection by active learning
Tirthankar Raychaudhuri, Len Hamey · 2002
Uses the 'query-by-committee' approach for building an active scheme for data collection. In this method data gathering is reduced to a minimum, yet modelling accuracy is uncompromised. The authors' active querying criterion is determined by whether or not several models agree when they are fitted to random subsamples of a small amount of collected data. Experiments with neural network models to establish the feasibility of the authors' algorithm have produced encouraging results.