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A study of the similarities between topics |
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| Authors: | Luis González Francisco Velasco Rafael M Gasca |
| Institution: | (1) Department of Applied Economy I, University of Seville, Avda Ramón y Cajal s/n, C.P., 41008 Seville, Spain;(2) Department of Computer Languages and Systems, University of Seville, Avda Reina Mercedes s/n, C.P., 41012. Seville, Spain |
| Abstract: | This paper presents a new methodology whereby the relationships among points of interest appearing in Internet Web pages may be graphically represented. This is done by quantifying the various points and representing them graphically using an intuitive interpretation of the similarity of sets. The similarity or interrelationships existing among various lines of research may be studied based on information taken from the Web pages using function taken from Learning Theory. A visual analysis of those interrelationships has been applied to the field of machine learning during the time interval May 2003–May 2004. |
| Keywords: | Kernels Similarity Probabilistic Machine Learning Research |
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