The role of prior information and computational power in Machine Learning.
Diego MarcondesAdilson SimonisJunior BarreraPublished in: CoRR (2022)
Keyphrases
- prior information
- computational power
- machine learning
- parallel processing
- computing power
- prior knowledge
- bayesian inference
- decision trees
- prior models
- learning algorithm
- communication technologies
- hyperparameters
- machine learning algorithms
- hardware architectures
- machine learning methods
- pattern recognition
- model selection
- learning systems
- knowledge acquisition
- learning tasks
- text mining
- knowledge representation
- computer vision
- artificial intelligence
- data mining
- data sets
- natural language processing
- inductive logic programming
- reinforcement learning
- prior model
- multithreading