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The Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier

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Year: 2015
Type: article
Source: IEEE Transactions on Affective Computing
DOI: 10.1109/taffc.2015.2508454
Authors: Soroosh Mariooryad, Carlos Busso
Institutions: Google (United States), The University of Texas at Dallas
Language: English

Topic: Machine Learning and Data Classification
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, University of California, San Diego
Awards: RI: Small: Collaborative Research: Exploring Audiovisual Emotion Perception using Data-Driven Computational Modeling, CAREER: Advanced Knowledge Extraction of Affective Behaviors During Natural Human Interaction, EAGER: Exploring the Use of Synthetic Speech as Reference Model to Detect Salient Emotional Segments in Speech
OpenAlex ID: W2527527138
FWCI: 1.962
Cites: 48
Cited by: 20
Related to: 10
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