Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization.
Alireza GhodsTrong Nghia HoangDiane J. CookPublished in: CoRR (2023)
Keyphrases
- information theoretic
- unsupervised learning
- mutual information
- information theory
- theoretic framework
- supervised learning
- information bottleneck
- multi modality
- log likelihood
- information theoretic measures
- minimum description length
- machine learning
- jensen shannon divergence
- learning algorithm
- multivariate time series
- feature selection
- entropy measure
- kl divergence
- expectation maximization
- computational learning theory
- image processing
- relative entropy
- text classification
- model selection
- kullback leibler divergence
- bregman divergences
- object recognition
- high dimensional
- dimensionality reduction