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Data Visualization, Regression, Applicability Domains and Inverse Analysis Based on Generative Topographic Mapping
Author(s) -
Kaneko Hiromasa
Publication year - 2019
Publication title -
molecular informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201800088
Subject(s) - visualization , bayesian linear regression , posterior probability , linear regression , regression analysis , mathematics , inverse , quantitative structure–activity relationship , probability distribution , python (programming language) , data mining , computer science , algorithm , pattern recognition (psychology) , artificial intelligence , bayesian probability , statistics , machine learning , bayesian inference , geometry , operating system
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