Open AccessIncreasing Interpretability and Prediction Rate by combining Self-organizing Maps with Modeling Algorithms
Author(s) -
Ivan Ryzhikov,
Mikko Huovinen,
Yrjö Hiltunen
Publication year - 2022
Publication title -
linköping electronic conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1650-3740
pISSN - 1650-3686
DOI - 10.3384/ecp2118592
Subject(s) - interpretability , computer science , cluster analysis , regularization (linguistics) , machine learning , relation (database) , variable (mathematics) , data mining , artificial intelligence , measure (data warehouse) , linear model , data modeling , algorithm , mathematics , mathematical analysis , database
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