Information Theoretic Deductions Using Machine Learning with an Application in Sociology.
Arunselvan RamaswamyYunpeng MaStefan AlfredssonFran CollyerAnna BrunströmPublished in: ICPRAM (2024)
Keyphrases
- information theoretic
- machine learning
- mutual information
- information theory
- computer science
- theoretic framework
- information bottleneck
- pattern recognition
- jensen shannon divergence
- information theoretic measures
- kullback leibler divergence
- log likelihood
- kl divergence
- entropy measure
- supervised learning
- machine learning algorithms
- data mining
- learning algorithm
- multi modality
- machine learning methods
- support vector machine
- text classification
- information extraction
- decision trees
- feature selection
- relative entropy
- distributional clustering
- minimum description length
- learning problems
- semi supervised learning
- probabilistic model
- computer vision