Improving Small-scale Machine Learning with Recurrent Expansion for Fuel Cells Time Series Prognosis.
Tarek BerghoutMohamed BenbouzidYassine AmiratPublished in: IECON (2022)
Keyphrases
- small scale
- machine learning
- machine learning methods
- larger scale
- non stationary
- learning algorithm
- pattern recognition
- explanation based learning
- survival analysis
- computer vision
- data mining
- mathematical model
- learning systems
- breast cancer
- recurrent neural networks
- knowledge acquisition
- feed forward
- computational intelligence
- information extraction
- knowledge discovery
- active learning
- data analysis
- decision trees
- neural network
- machine learning approaches
- data sets
- inductive logic programming
- microscope images
- learning tasks
- stock market
- machine learning algorithms
- model selection
- text classification
- natural language processing
- reinforcement learning
- artificial intelligence