The ActiveCrowdToolkit: an open-source tool for benchmarking active learning algorithms for crowdsourcing research
Autor: | Matteo Venanzi, Oliver Parson, Alex Rogers, Nick Jennings |
---|---|
Jazyk: | angličtina |
Rok vydání: | 2015 |
Popis: | We present an open-source toolkit that allows the easy comparison of the performance of active learning methods over a series of datasets. The toolkit allows such strategies to be constructed by combining a judgement aggregation model, task selection method and worker selection method.The toolkit also provides a user interface which allows researchers to gain insight into worker performance and task classification at runtime. |
Databáze: | OpenAIRE |
Externí odkaz: |