Suche mittels Attribut

Diese Seite stellt eine einfache Suchoberfläche zum Finden von Objekten bereit, die ein Attribut mit einem bestimmten Datenwert enthalten. Andere verfügbare Suchoberflächen sind die Attributsuche sowie der Abfragengenerator.

Suche mittels Attribut

Eine Liste aller Seiten, die das Attribut „Kurzfassung“ mit dem Wert „With existing search strategies, specific paper contents can only be searched indirectly. Keywords are used to describe the searched content as accurately as possible but many of the results are not related to what was searched for. A classification of these contents, if automated, could extend the search process and thereby allow to specify the searched content directly and enhance current state of scholarly communication. In this thesis, we investigated the automatic classification of scientific papers in the Software Engineering domain. In doing so, a classification scheme of paper contents with regard to Research Object, Statement, and Evidence was consolidated. We then investigate in a comparative analysis the machine learning algorithms Naïve Bayes, Support Vector Machine, Multi-Layer Perceptron, Logistic Regression, Decision Tree, and BERT applied to the classification task.“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

Hier sind 2 Ergebnisse, beginnend mit Nummer 1.

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Liste der Ergebnisse

    • Automated Classification of Software Engineering Papers along Content Facets  + (With existing search strategies, specific … With existing search strategies, specific paper contents can only be searched indirectly. Keywords are used to describe the searched content as accurately as possible but many of the results are not related to what was searched for. A classification of these contents, if automated, could extend the search process and thereby allow to specify the searched content directly and enhance current state of scholarly communication.</br>In this thesis, we investigated the automatic classification of scientific papers in the Software Engineering domain.</br>In doing so, a classification scheme of paper contents with regard to Research Object, Statement, and Evidence was consolidated.</br>We then investigate in a comparative analysis the machine learning algorithms Naïve Bayes, Support Vector Machine, Multi-Layer Perceptron, Logistic Regression, Decision Tree, and BERT applied to the classification task.d BERT applied to the classification task.)
    Abgerufen von „https://sdq.kastel.kit.edu/institutsseminar/Spezial:Suche_mittels_Attribut“