Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond.
Wojciech SamekGrégoire MontavonSebastian LapuschkinChristopher J. AndersKlaus-Robert MüllerPublished in: CoRR (2020)
Keyphrases
- machine learning
- neural network
- pattern recognition
- decision trees
- fuzzy logic
- neural network model
- deep learning
- machine learning algorithms
- machine learning methods
- artificial neural networks
- data sets
- feature selection
- data analysis
- machine learning and data mining
- artificial intelligence
- support vector machine
- learning algorithm
- knowledge acquisition
- model selection
- fault diagnosis
- learning systems
- back propagation
- hopfield neural network
- text mining
- data mining
- genetic algorithm
- active learning
- computer vision
- recurrent neural networks
- supervised machine learning
- rule extraction
- explanation based learning
- learning classifier systems
- network architecture
- neural nets
- inductive learning
- unsupervised learning
- training data
- learning tasks
- kernel methods
- self organizing maps
- information extraction
- natural language processing
- computational intelligence