Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.
Arie Ben-DavidPublished in: Mach. Learn. (1995)
Keyphrases
- information theoretic
- machine learning algorithms
- information theory
- learning algorithm
- benchmark data sets
- mutual information
- machine learning
- theoretic framework
- predictive accuracy
- machine learning methods
- decision trees
- random forests
- learning problems
- information bottleneck
- relative entropy
- information theoretic measures
- jensen shannon divergence
- machine learning approaches
- learning tasks
- learning models
- kullback leibler divergence
- transfer learning
- minimum description length
- machine learning models
- machine learning and data mining algorithms
- standard machine learning algorithms
- computer vision
- image analysis
- real world
- prior knowledge
- natural language processing