Abstract
In the paper continuation of our research described earlier is shortly discussed. The main goal of current investigation is to build combined learning model (probably quasi-optimal) merging some knowledge models, developed by means of different machine learning algorithms. In order to reach this goal, a set of generic operations were implemented and tested on melanocytic dataset.
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Paja, W., Hippe, Z.S. (2005). Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_53
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DOI: https://doi.org/10.1007/3-540-32392-9_53
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