Classification Tools for Carotenoid Content Estimation in Manihot esculenta via Metabolomics and Machine Learning.
Rodolfo MorescoTelma AfonsoVirgílio G. UarrotaBruno Bachiega NavarroEduardo da C. NunesMiguel RochaMarcelo MaraschinPublished in: PACBB (2017)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- decision trees
- support vector machine
- machine learning algorithms
- text classification
- pattern classification
- machine learning approaches
- classification accuracy
- classification method
- supervised classification
- feature selection
- classification algorithm
- unsupervised learning
- density estimation
- feature space
- classification systems
- supervised learning
- supervised machine learning
- feature extraction
- decision rules
- support vector machine svm
- automatic classification
- computer vision
- model selection
- training samples
- feature set
- training set
- knowledge representation
- support vector
- multiple classifier systems
- digital libraries
- feature vectors
- classification scheme
- active learning
- information extraction
- learning tasks
- semi supervised
- natural language processing
- knowledge acquisition
- class labels