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National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Meta-learning
 Hovorka, Martin ; Hrabec, Jakub (referee) ; Honzík, Petr (advisor)
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Detailed record
Comparison of accuracy achieved by traditional models and ensemble methods
 Zapletal, Ondřej ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
This thesis deals with empirical comparison of traditional and meta-learning models in classification tasks. Accuracy of 12 RapidMiner models was statistically compared on 20 data sets. Second part of this thesis consists of description of self-programed application in programing language C#, which implements 6 different models. Four of those are compared with equivalent models of program RapidMiner.
Detailed record
Comparison of accuracy achieved by traditional models and ensemble methods
 Zapletal, Ondřej ; Klusáček, Jan (referee) ; Honzík, Petr (advisor)
This thesis deals with empirical comparison of traditional and meta-learning models in classification tasks. Accuracy of 12 RapidMiner models was statistically compared on 20 data sets. Second part of this thesis consists of description of self-programed application in programing language C#, which implements 6 different models. Four of those are compared with equivalent models of program RapidMiner.
Detailed record
Meta-learning
 Hovorka, Martin ; Hrabec, Jakub (referee) ; Honzík, Petr (advisor)
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Detailed record

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