Dis-function: Learning distance functions interactively

The world's corpora of data grow in size and complexity every day, making it increasingly difficult for experts to make sense out of their data. Although machine learning offers algorithms for finding patterns in data automatically, they often require algorithm-specific parameters, such as an a...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Brown, E. T., Jingjing Liu, Brodley, C. E., Chang, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bars Data visualization Euclidean distance Machine learning Vectors Yttrium
Online-Zugang:	Volltext bestellen
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