Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/02F9A884-340C-403D-82CD-69BBA151D2EF | - |
| Identifier | https://doi.org/10.1109/ICMLA.2007.67 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | Polynomial and RBF kernels as marker selection tools-a breast cancer case study | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | M.E. Blazadonakis | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | The problem of marker selection in DNA microarray experiment, due to the "curse of dimensionality", has been mostly addressed so far by linear approaches. Taking into account the fact that the domain of interest is a complex one, where non-linear interconnections and dependencies may also exist among the extremely large number of examined genes, we address the use of nonlinear tools to assess the problem. In this study, we propose to apply the kernel ability of Support Vector Machines in combination with Fisher's ratio as an alternative approach to assess the problem. | en |
| Type of Item | Αφίσα σε Συνέδριο | el |
| Type of Item | Conference Poster | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-24 | - |
| Date of Publication | 2007 | - |
| Bibliographic Citation | M.E. Blazadonakis, M. Zervakis ,"Polynomial and RBF kernels as marker selection tools-a breast cancer case study ,"in 2007 Sixth Intern. Conf. on Machine Learn. and Applications, ICMLA.pp. 488-493.doi:10.1109/ICMLA.2007.67 | en |
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