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Detection of independence relations from persegrams
Jiroušek, Radim
Procedures for computation with multidimensional models (multidimensional probability distributions) are efficient only for models with specific independence structure. Therefore, it is of great importance to learn the independence structure. The paper presents a solution of this task for models represented by generating sequences.
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ECML/PKDD konference - výzva k analýze dat o rizikových faktorech aterosklerózy
Berka, P. ; Tomečková, Marie ; Rauch, J.
It becomes a good habit to organize a data mining cup, a competition or a challenge at machine learning or data mining conferences. The main idea of the Discovery Challenge organized at the European Conferences on Principles and Practice of Knowledge Discovery in Databases since 1999 was to encourage a collaborative research effort rather than a competition between data miners. Different data sets have been used for the challenges during the six years. The paper summarizes out experience gained when organizing and evaluating the challenge on the atherosclerosis risk factor data.
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A Program for Competency Testing
Heroutová, Helena
The data collected in the databases can be utilized for data-mining, for classification, prediction and learning as well. The Program For Competency Testing is meant to be used for medical students. With its help they can gain knowledge contained in databases filled with data obtained in the process of treating patients.
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