eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems.
Edoardo VecchiLukás PospísilSteffen AlbrechtTerence J. O'KaneIllia HorenkoPublished in: Neural Comput. (2022)
Keyphrases
- machine learning
- data sets
- data analysis
- statistical methods
- database
- machine learning methods
- decision trees
- training data
- application domains
- supervised learning
- image data
- data sources
- raw data
- original data
- data collection
- classification accuracy
- pattern recognition
- supervised classification
- data mining
- supervised machine learning
- data quality
- background knowledge
- training samples
- statistical analysis
- small number
- knowledge discovery
- feature vectors
- optimal solution
- input data
- data points
- training set
- data structure
- computational biology
- bayesian methods