Graph-based active learning of agglomeration (GALA): a Python library to segment 2D and 3D neuroimages.
Juan Nunez-IglesiasRyan KennedyStephen M. PlazaAnirban ChakrabortyWilliam T. KatzPublished in: Frontiers Neuroinformatics (2014)
Keyphrases
- active learning
- semi supervised
- open source
- programming language
- selective sampling
- supervised learning
- random sampling
- learning strategies
- labeled data
- machine learning
- graph theoretic
- training examples
- unlabeled data
- neural network
- learning algorithm
- experimental design
- graphical user interface
- scripting language
- text classification
- open source software
- pairwise
- sample selection
- pool based active learning
- semi supervised learning
- general purpose
- graph based algorithm
- crowd sourced