Metaheuristics for Query Synthesis in One-Class Active Learning: Unterschied zwischen den Versionen
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|kurzfassung= | |kurzfassung=Active learning describes the topic of a human operator helping with the machine learning process. By asking for a classification of queries, the precision of the machine learning algorithm is increased. Existing research focuses on the idea of using a pool of unlabelled data points or use multiple class cases. We have developed a framework, that allows to synthesize a query in the one-class setting without requiring unlabelled data points. The optimal query is the data point with the highest amount of information. The amount of information for a specific data point is given by the informativeness function. We have created a framework to use metaheuristics to find the maximum of the informativeness function and thus determine the optimal query. We have also conducted experiments to provide a general guideline for the usage of metaheuristics in one-class query synthesis. | ||
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Aktuelle Version vom 1. April 2019, 09:01 Uhr
Vortragende(r) | Philipp Schüler | |
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Vortragstyp | Bachelorarbeit | |
Betreuer(in) | Adrian Englhardt | |
Termin | Fr 5. April 2019 | |
Vortragsmodus | ||
Kurzfassung | Active learning describes the topic of a human operator helping with the machine learning process. By asking for a classification of queries, the precision of the machine learning algorithm is increased. Existing research focuses on the idea of using a pool of unlabelled data points or use multiple class cases. We have developed a framework, that allows to synthesize a query in the one-class setting without requiring unlabelled data points. The optimal query is the data point with the highest amount of information. The amount of information for a specific data point is given by the informativeness function. We have created a framework to use metaheuristics to find the maximum of the informativeness function and thus determine the optimal query. We have also conducted experiments to provide a general guideline for the usage of metaheuristics in one-class query synthesis. |