Chart classification: an empirical comparative study of different learning models.
Jennil ThiyamSanasam Ranbir SinghPrabin Kumar BoraPublished in: ICVGIP (2021)
Keyphrases
- comparative study
- learning models
- classification models
- machine learning
- machine learning algorithms
- pattern recognition
- decision trees
- classification accuracy
- machine learning models
- loss function
- text classification
- learning algorithm
- class labels
- feature vectors
- feature extraction
- data sets
- feature selection
- learning problems
- support vector
- model selection
- training set
- supervised learning
- text mining
- conditional random fields
- dimension reduction
- artificial neural networks
- probabilistic model
- real world
- k means