%0 Journal Article %1 bahamonde2007 %A Bahamonde, Antonio %A Díez, Jorge %A Quevedo, José Ramón %A Luaces, Oscar %A del Coz, Juan José %D 2007 %J Trends in Food Science & Technology %K SVM consumer food preferences %N 1 %P 20 - 28 %R DOI: 10.1016/j.tifs.2006.07.014 %T How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM) %V 18

@article{bahamonde2007, added-at = {2011-07-14T15:20:38.000+0200}, author = {Bahamonde, Antonio and Díez, Jorge and Quevedo, José Ramón and Luaces, Oscar and del Coz, Juan José}, biburl = {https://www.bibsonomy.org/bibtex/2b09a3b8a55fd82694e1f5378808fb5e9/dx}, doi = {DOI: 10.1016/j.tifs.2006.07.014}, interhash = {63d6a45c0ca1b6d863925344453fcca0}, intrahash = {b09a3b8a55fd82694e1f5378808fb5e9}, issn = {0924-2244}, journal = {Trends in Food Science & Technology}, keywords = {SVM consumer food preferences}, number = 1, pages = {20 - 28}, timestamp = {2011-07-14T15:20:38.000+0200}, title = {How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)}, volume = 18, year = 2007 }