Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification.
Pengyu YuanAryan MobinyJahandar JahanipourXiaoyang LiPietro Antonio CicaleseBadrinath RoysamVishal M. PatelMaric DraganHien Van NguyenPublished in: CoRR (2020)
Keyphrases
- meta learning
- decision trees
- machine learning algorithms
- model selection
- learning tasks
- machine learning
- meta knowledge
- classification accuracy
- feature selection
- inductive learning
- support vector machine
- feature vectors
- support vector
- supervised learning
- machine learning methods
- image classification
- text classification
- base classifiers
- knowledge representation
- unsupervised learning
- training set
- feature space
- feature extraction