FIBS: A Generic Framework for Classifying Interval-based Temporal Sequences

We study the problem of classifying interval-based temporal sequences (IBTSs). Since common classification algorithms cannot be directly applied to IBTSs, the main challenge is to define a set of features that effectively represents the data such that classifiers can be applied. Most prior work util...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	S Mohammad Mirbagheri, Hamilton, Howard J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Computer Science - Artificial Intelligence Computer Science - Learning Data mining Feature extraction Pattern analysis Statistics - Machine Learning
Online-Zugang:	Volltext
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