Local distance metric learning for efficient conformal predictors

Conformal prediction is a relatively recent approach to classification that offers a theoretical framework for generating predictions with precise levels of confidence. For each new object encountered, a conformal predictor outputs a set of class labels that contains the true label with probability...

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Bibliographische Detailangaben

Hauptverfasser:	Pekala, Michael J., Llorens, Ashley J., I-Jeng Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation methods classification conformal prediction distance metric learning Error analysis Machine learning Measurement Optimization Support vector machines
Online-Zugang:	Volltext bestellen
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