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	Shawe-Taylor, John     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 4 of 4 reviews       A tutorial on canonical correlation methods Uurtio V., Monteiro J., Kandola J., Shawe-Taylor J., Fernandez-Reyes D., Rousu J. ACM Computing Surveys 50(6): 1-33, 2018.  Type: Article Canonical correlation analysis (CCA) is used to discover relations between two or more multivariate sets of variables, called views. Data to be processed are collected for a population of individuals, and for one individual its state i...... Apr 26 2018     High-probability minimax probability machines Cousins S., Shawe-Taylor J. Machine Learning 106(6): 863-886, 2017.  Type: Article To address the challenges of minimizing the future misclassification rate of a predictor, Lanckriet et al. [1] proposed minimax probability machines (MPMs) based on the minimax approach to build binary classifiers, which minimize the u...... Oct 18 2017     Can eyes reveal interest? Implicit queries from gaze patterns Ajanki A., Hardoon D., Kaski S., Puolamäki K., Shawe-Taylor J. User Modeling and User-Adapted Interaction 19(4): 307-339, 2009.  Type: Article Formulating good queries for information retrieval is a difficult task, even more so if the person who originates the query is not experienced at search. This paper studies a new approach for enhancing search, by using eye movements as...... Feb 11 2010     Kernel methods for pattern analysis Shawe-Taylor J., Cristianini N., Cambridge University Press, New York, NY, 2004.  Type: Book (9780521813976) “Kernel methods” refers to a set of techniques for pattern analysis that became quite popular after the introduction of the support vector machine (SVM) in the 1990s. One of the most important pattern analysis probl...... Mar 4 2005
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