How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)

Trends in Food Science and Technology

Volumn 18, Issue 1, 2007, Pages 20-28

  Bahamonde, Antonio ^a   Díez, Jorge ^a   Quevedo, José Ramón ^a   Luaces, Oscar ^a   del Coz, Juan José ^a  

^a UNIVERSITY OF OVIEDO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONSUMER ELECTRONICS; FOOD PRODUCTS; REGRESSION ANALYSIS; SENSORY PERCEPTION; VECTOR QUANTIZATION;

CONSUMER PREFERENCES; SUPPORT VECTOR MACHINES (SVM);

DATA REDUCTION;

EID: 37849186812     PISSN: 09242244     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tifs.2006.07.014     Document Type: Review

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