The mechanistic basis of data dependence and abrupt learning in an in-context classification task.
Gautam ReddyPublished in: CoRR (2023)
Keyphrases
- supervised learning
- training data
- data sets
- training samples
- data collection
- online learning
- data processing
- learning process
- data reduction
- data structure
- classification rules
- human experts
- missing data
- contextual information
- raw data
- labeled data
- unsupervised learning
- learning models
- machine learning
- support vector
- classification accuracy
- data sources
- input data
- data analysis
- feature vectors
- labeled and unlabeled data
- bayesian methods
- pattern recognition
- classification models
- incremental learning
- data quality
- original data
- feature space
- prior knowledge
- learning systems
- training examples
- data points
- knowledge discovery
- image data
- semi supervised
- image classification