Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy.
Robson Parmezan BonidiaAnderson P. Avila-SantosBreno Lívio Silva de AlmeidaPeter F. StadlerUlisses Nunes da RochaDanilo Sipoli SanchesAndré C. P. L. F. de CarvalhoPublished in: Entropy (2022)
Keyphrases
- information theory
- sequence classification
- feature extraction
- information theoretic
- sequence data
- hidden markov models
- markov models
- discriminative learning
- conditional entropy
- feature selection
- conditional random fields
- image classification
- feature vectors
- principal component analysis
- dimensionality reduction
- pattern recognition
- face recognition
- pattern classification
- image processing
- support vector machine svm
- information extraction
- feature space
- mutual information
- string kernels
- similarity measure