Graph Kernels and Applications in Bioinformatics
In recent years, machine learning has emerged as an important discipline. However, despite the popularity of machine learning techniques, data in the form of discrete structures are not fully exploited. For example, when data appear as graphs, the common choice is the transformation of such structur...
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Format: | Others |
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DigitalCommons@USU
2011
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Online Access: | https://digitalcommons.usu.edu/etd/1185 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2165&context=etd |