Classification of Wood Chips Using Electrical Impedance Spectroscopy and Machine Learning.
Markku TiittaValtteri TiittaJorma HeikkinenReijo LappalainenLaura TomppoPublished in: Sensors (2020)
Keyphrases
- machine learning
- pattern recognition
- decision trees
- machine learning methods
- text classification
- supervised learning
- classification scheme
- pattern classification
- support vector machine
- supervised machine learning
- feature selection
- classification method
- classification accuracy
- data mining
- infrared
- machine learning algorithms
- support vector
- data sets
- transmission line
- machine learning approaches
- supervised classification
- learning algorithm
- automatic classification
- computer vision
- feature extraction
- training set
- decision rules
- inductive learning
- model selection
- image classification
- multi class
- computer science
- feature space
- semi supervised learning
- text mining
- active learning