Orthogonal Procrustes and Machine Learning: Predicting Bill of Materials errors on time.
Simon SchrammMatthias PieperStefanie VoglPublished in: Comput. Ind. Eng. (2023)
Keyphrases
- machine learning
- decision trees
- machine learning algorithms
- shape analysis
- feature selection
- text classification
- artificial intelligence
- pattern recognition
- information extraction
- learning algorithm
- text mining
- neural network
- error propagation
- explanation based learning
- support vector machine
- active learning
- knowledge discovery
- supervised machine learning
- error detection
- real time
- face recognition
- machine learning approaches
- computational biology
- inductive learning
- natural language
- inductive logic programming
- learning problems
- learning materials
- machine learning methods
- learning systems
- computer science
- single image
- knowledge acquisition
- data analysis
- learning process