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Machine learning could solve riddles of galaxy formation
Machine learning galaxy formation
2015/12/7
A new machine-learning simulation system developed at the University of Illinois promises cosmologists an expanded suite of galaxy models – a necessary first step to developing more accurate and relev...
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning
stellar atmospheric parameters spectra spectral lines
2009/6/8
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning。