Exploring Hyperparameter Usage and Tuning in Machine Learning Research.
Sebastian SimonNikolay KolyadaChristopher AkikiMartin PotthastBenno SteinNorbert SiegmundPublished in: CAIN (2023)
Keyphrases
- machine learning
- model selection
- knowledge acquisition
- machine learning methods
- machine learning algorithms
- gaussian processes
- supervised learning
- artificial intelligence
- decision trees
- pattern recognition
- active learning
- computational intelligence
- data mining
- learning systems
- learning algorithm
- information systems
- explanation based learning
- computational biology
- gaussian process
- inductive logic programming
- learning problems
- text classification
- natural language processing
- information extraction
- data analysis
- computer vision
- semi supervised learning
- information retrieval
- learning tasks
- inductive learning
- parameter settings
- natural language
- machine learning and data mining
- fine tuning
- supervised machine learning