An active instance-based machine learning method for stellar population studies

Monthly Notices of the Royal Astronomical Society

Volumn 363, Issue 2, 2005, Pages 543-554

  Solorio, Thamar ^a   Fuentes, Olac ^a   Terlevich, Roberto ^a,b   Terlevich, Elena ^a  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Galaxies: fundamental parameters; Galaxies: stellar content; Methods: data analysis; Methods: numerical; Methods: statistical

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; NUMERICAL METHODS; POPULATION STATISTICS; SIGNAL TO NOISE RATIO; STARS;

GALAXIES: FUNDAMENTAL PARAMETERS; GALAXY:STELLAR CONTENT; HIGH RESOLUTION; MACHINE LEARNING METHODS; METHOD: NUMERICAL; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; POPULATION STUDIES; SPECTRA'S; STELLAR POPULATIONS;

GALAXIES;

EID: 27144504749     PISSN: 00358711     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-2966.2005.09456.x     Document Type: Article

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