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 „Dependency estimation is a significant part of knowledge discovery and allows strategic decisions based on this information. Many dependency estimation algorithms require a large amount of data for a good estimation. But data can be expensive, as an example experiments in material sciences, consume material and take time and energy. As we have the challenge of expensive data collection, algorithms need to be data efficient. But there is a trade-off between the amount of data and the quality of the estimation. With a lack of data comes an uncertainty of the estimation. However, the algorithms do not always quantify this uncertainty. As a result, we do not know if we can rely on the estimation or if we need more data for an accurate estimation. In this bachelor’s thesis we compare different state-of-the-art dependency estimation algorithms using a list of criteria addressing the above-mentioned challenges. We partly developed the criteria our self as well as took them from relevant publications. Many of the existing criteria where only formulated qualitative, part of this thesis is to make these criteria measurable quantitative, where possible, and come up with a systematic approach of comparison for the rest. We also conduct a quantitative analysis of the dependency estimation algorithms by experiment on well-established and representative data sets that performed well in the qualitative analysis.“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

Hier sind 2 Ergebnisse, beginnend mit Nummer 1.

Zeige (vorherige 50 | nächste 50) (20 | 50 | 100 | 250 | 500)

    

Liste der Ergebnisse

    • A Comparative Analysis of Data-Efficient Dependency Estimators  + (Dependency estimation is a significant par … Dependency estimation is a significant part of knowledge</br>discovery and allows strategic decisions based on this information.</br>Many dependency estimation algorithms require a large amount of data for a good</br>estimation. But data can be expensive, as an example experiments in material sciences,</br>consume material and take time and energy.</br>As we have the challenge of expensive data collection, algorithms need to be data</br>efficient. But there is a trade-off between the amount of data and the quality of the</br>estimation. With a lack of data comes an uncertainty of the estimation. However, the</br>algorithms do not always quantify this uncertainty. As a result, we do not know if we</br>can rely on the estimation or if we need more data for an accurate estimation.</br>In this bachelor’s thesis we compare different state-of-the-art dependency estimation</br>algorithms using a list of criteria addressing the above-mentioned challenges. We partly</br>developed the criteria our self as well as took them from relevant publications. Many</br>of the existing criteria where only formulated qualitative, part of this thesis is to make</br>these criteria measurable quantitative, where possible, and come up with a systematic</br>approach of comparison for the rest.</br>We also conduct a quantitative analysis of the dependency estimation algorithms by</br>experiment on well-established and representative data sets that performed well in the</br>qualitative analysis.erformed well in the qualitative analysis.)
    Abgerufen von „https://sdq.kastel.kit.edu/institutsseminar/Spezial:Suche_mittels_Attribut“