A biologically-inspired evaluation of molecular generative machine learning.
Elizaveta VinogradovaAbay ArtykbayevAlisher AmanatayMukhamejan KaratayevMaxim MametkulovAlbina LiAnuar SuleimenovAbylay SalimzhanovKarina PatsRustam ZhumagambetovFerdinand MolnárVsevolod PeshkovSiamac FazliPublished in: CoRR (2022)
Keyphrases
- biologically inspired
- machine learning
- receptive fields
- biologically plausible
- biological systems
- colour image segmentation
- data mining
- generative model
- machine learning algorithms
- potential field
- visual attention model
- decision trees
- higher order
- unsupervised learning
- learning algorithm
- computer vision
- sensory motor
- center surround
- mobile robot
- goal directed
- scene classification
- multiscale
- motor control
- recurrent networks