Learning Entropy: On Shannon vs. Machine-Learning-Based Information in Time Series.
Ivo BukovskyOndrej BudikPublished in: DEXA Workshops (2022)
Keyphrases
- machine learning
- learning tasks
- knowledge acquisition
- learning algorithm
- prior knowledge
- supervised learning
- learning systems
- information processing
- learning problems
- information extraction
- neural network
- non stationary
- learning process
- information content
- information retrieval
- online learning
- information sources
- pattern recognition
- information sharing
- information theory
- explanation based learning
- machine learning methods
- information theoretic
- learning analytics
- background knowledge
- machine learning algorithms
- unsupervised learning
- text classification
- knowledge representation
- active learning
- data analysis
- knowledge base
- computer vision