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• W2770053496 abstract "This chapter is an extension of our work presented where the problem of classifying audio signals using a supervised tolerance class learning algorithm (TCL) based on tolerance near sets was first proposed. In the tolerance near set method(TNS), tolerance classes are directly induced from the data set using a tolerance level and a distance function. The TNS method lends itself to applications where features are real-valued such as image data, audio and video signal data. Extensive experimentation with different audio-video data sets were performed to provide insights into the strengths and weaknesses of the TCL algorithm compared to granular (fuzzy and rough) and classical machine learning algorithms." @default.
• W2770053496 created "2017-12-04" @default.
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• W2770053496 date "2017-11-17" @default.
• W2770053496 modified "2023-09-24" @default.
• W2770053496 title "Application of Tolerance Near Sets to Audio Signal Classification" @default.
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• W2770053496 doi "https://doi.org/10.1007/978-3-319-67588-6_13" @default.
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