Information-theoretic Feature Selection via Tensor Decomposition and Submodularity.
Magda AmiridiNikos KargasNicholas D. SidiropoulosPublished in: CoRR (2020)
Keyphrases
- information theoretic
- tensor decomposition
- mutual information
- feature selection
- data representation
- auxiliary information
- information theory
- high order
- log likelihood
- kl divergence
- support vector
- dimensionality reduction
- text categorization
- kullback leibler divergence
- image registration
- tensor factorization
- visual data
- feature set
- machine learning
- semi supervised
- visual information
- social network analysis
- model selection
- feature space
- higher order