Pseudo-Feature Generation for Imbalanced Data Analysis in Deep Learning.
Tomohiko KonnoMichiaki IwazumePublished in: CoRR (2018)
Keyphrases
- deep learning
- feature generation
- data analysis
- machine learning
- inductive learning
- text categorization
- unsupervised learning
- information extraction
- word sense disambiguation
- feature representations
- statistical approaches
- data mining
- mental models
- constructive induction
- inductive logic programming
- generation method
- knowledge acquisition
- multi class
- semantic features
- weakly supervised
- learning algorithm
- text mining
- knowledge discovery
- knowledge representation
- computer vision
- image segmentation