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Kaski, Samuel
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Bayesian multi-tensor factorization
Khan S., Leppäaho E., Kaski S. Machine Learning 105(2): 233-253, 2016. Type: Article
Data mining is increasingly facing the problem of extracting new knowledge from experimental data collected from complex phenomena. To extract hidden information, such datasets can be decomposed into the components that underlie them. ...
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Feb 23 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...
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Feb 11 2010
Methods for exploratory cluster analysis
Kaski S., Nikkilä J., Kohonen T. In
Intelligent exploration of the web
. Heidelberg, Germany: Physica-Verlag GmbH, 2003. Type: Book Chapter
This chapter reports on a study that used self-organizing maps to detect clusters and the dominating variables in these clusters in the high-dimensional data set being analyzed. This approach can be used in preliminary data mining, whe...
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Nov 14 2003
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