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Eine Liste aller Seiten, die das Attribut „Kurzfassung“ mit dem Wert „PRIM (Patient Rule Induction Method) is an algorithm used for discovering scenarios, by creating hyperboxes in the input space. Yet PRIM alone usually requires large datasets and computational simulations can be expensive. Consequently, one wants to obtain scenarios while reducing the number of simulations. It has been shown, that combining PRIM with machine learning models, can reduce the number of necessary simulation runs by around 75%. In this thesis, I analyze nine different active learning sampling strategies together with several machine learning models, in order to find out if active learning can systematically improve PRIM even further, and if out of those strategies and models, a most beneficial combination of sampling method and intermediate machine learning model exists for this purpose.“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

Hier sind 2 Ergebnisse, beginnend mit Nummer 1.

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Scenario Discovery with Active Learning + (PRIM (Patient Rule Induction Method) is an … PRIM (Patient Rule Induction Method) is an algorithm used for discovering scenarios, by creating hyperboxes in the input space. Yet PRIM alone usually requires large datasets and computational simulations can be expensive. Consequently, one wants to obtain scenarios while reducing the number of simulations. It has been shown, that combining PRIM with machine learning models, can reduce the number of necessary simulation runs by around 75%.</br>In this thesis, I analyze nine different active learning sampling strategies together with several machine learning models, in order to find out if active learning can systematically improve PRIM even further, and if out of those strategies and models, a most beneficial combination of sampling method and intermediate machine learning model exists for this purpose.ne learning model exists for this purpose.)

Scenario Discovery with Active Learning +