Position: Why We Must Rethink Empirical Research in Machine Learning.
Moritz HerrmannF. Julian D. LangeKatharina EggenspergerGiuseppe CasalicchioMarcel WeverMatthias FeurerDavid RügamerEyke HüllermeierAnne-Laure BoulesteixBernd BischlPublished in: CoRR (2024)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- explanation based learning
- knowledge acquisition
- position and orientation
- computer vision
- inductive learning
- pattern recognition
- information extraction
- data mining
- artificial neural networks
- inductive logic programming
- text classification
- learning systems
- background knowledge
- position information
- machine learning approaches
- real time
- databases
- active learning
- computer science
- information retrieval
- learning algorithm
- feature selection
- case study
- machine learning and data mining
- empirical data
- artificial intelligence
- computational biology
- supervised learning
- statistical methods
- face recognition
- learning environment
- natural language
- knowledge representation