A category theory approach to the semiotics of machine learning.
Fernando TohméRocco GangleGianluca CaterinaPublished in: Ann. Math. Artif. Intell. (2024)
Keyphrases
- machine learning
- supervised learning
- information extraction
- machine learning methods
- unsupervised learning
- real time
- machine learning and data mining
- theoretical basis
- learning systems
- machine learning algorithms
- knowledge acquisition
- knowledge representation
- active learning
- data analysis
- database
- computer vision
- theoretical framework
- supervised machine learning
- general theory
- decision theory
- data sets
- inductive learning
- information theory
- statistical methods
- neural network
- knowledge discovery
- pattern recognition
- semi supervised learning
- computer science
- model selection
- support vector machine