Theorical researchs
- A.D. Anastasiadis & G.D.Magoulas: Evolving Stochastic Learning Algorithm Based on Tsallis Entropic Index
- MLPs
- SVMs
- Committee machines
Machine learning applied to galaxy images/catalogs:
- MLPs
- Naim et al. 1995: A comparative study of morphological classifications of APM galaxies
- Ball et al. 2003: Galaxy types in the Sloan Digital Sky Survey using supervised Artificial Neural Networks
- Collister et al. 2003: ANNz: estimating photometric redshifts using artificial neural networks
- Vanzella et al. 2003: Photometric redshifts with the Multilayer Perceptron Neural Network: application to the HDF-S and SDSS
- Goderya, Andreasen & Philip 2004: Advances in Automated Algorithms For Morphological Classification of Galaxies Based on Shape Features
- SVMs
