Classification from Positive, Unlabeled and Biased Negative Data.
Yu-Guan HsiehGang NiuMasashi SugiyamaPublished in: ICML (2019)
Keyphrases
- data sets
- decision trees
- training data
- data collection
- image data
- data processing
- knowledge discovery
- data points
- prior knowledge
- data analysis
- pattern recognition
- data sources
- classification accuracy
- data distribution
- feature extraction
- raw data
- database
- training samples
- unlabeled data
- synthetic data
- feature selection
- positive and negative
- supervised learning
- original data
- end users
- data structure
- preprocessing
- label information
- classification rules
- data quality
- training examples
- unsupervised learning
- machine learning
- text classification
- image classification
- data mining techniques
- dimensionality reduction
- high quality
- active learning
- training set