Autor: Grzymala-Busse, J. W. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A new algorithm for generation of decision trees
Autorzy:: Grzymała-Busse, J. W.
Hippe, Z. S.
Knap, M.
Mroczek, T.
Powiązania:: https://bibliotekanauki.pl/articles/1965778.pdf
Data publikacji:: 2004
Wydawca:: Politechnika Gdańska
Tematy:: artificial intelligence
supervised machine learning
decision trees
Bayes networks
Opis:: A new algorithm for development of quasi-optimal decision trees, based on the Bayes theorem, has been created and tested. The algorithm generates a decision tree on the basis of Bayesian belief networks, created prior to the formation of the decision tree. The efficiency of this new algorithm was compared with three other known algorithms used to develop decision trees. The data set used for the experiments was a set of cases of skin lesions, histopatolgically verified.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2004, 8, 2; 243-247
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Diagnosing skin melanoma: current versus future directions
Autorzy:: Hippe, Z. S.
Bajcar, S.
Blajdo, P.
Grzymała-Busse, J. P.
Grzymała-Busse, J. W.
Knap, M.
Paja, W.
Wrzesień, M.
Powiązania:: https://bibliotekanauki.pl/articles/1954638.pdf
Data publikacji:: 2003
Wydawca:: Politechnika Gdańska
Tematy:: melanoma
TDS
machine learning in diagnosis
Opis:: A new database containing 410 cases of nevi pigmentosi, in four categories: benign nevus, blue nevus, suspicious nevus and melanoma malignant, carefully verified by histopathology, is described. The database is entirely different from the base presented previously, and can be readily used for research based on the so-called constructive induction in machine learning. To achieve this, the database features a different set of thirteen descriptive attributes, with a fourteenth additional attribute computed by applying values of the remaining thirteen attributes. In addition, a new program environment for the validation of computer-assisted diagnosis of melanoma, is briefly discussed. Finally, results are presented on determining optimal coefficients for the well-known ABCD formula, useful for melanoma diagnosis.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 2; 289-293
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

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