Abstract
We use 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. Our 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 our algorithm have produced encouraging results.
Original language | English |
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Title of host publication | IEEE International Conference on Neural Networks: conference proceedings |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1338-1341 |
Number of pages | 4 |
Volume | 3 |
ISBN (Print) | 0780327683 |
DOIs | |
Publication status | Published - 1995 |
Event | 1995 IEEE International Conference on Neural Networks (ICNN 95) - PERTH, Australia Duration: 27 Nov 1995 → 1 Dec 1995 |
Conference
Conference | 1995 IEEE International Conference on Neural Networks (ICNN 95) |
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Country/Territory | Australia |
City | PERTH |
Period | 27/11/95 → 1/12/95 |