LOGIC: Probabilistic Machine Learning for Time Series Classification.
Fabian BernsJan David HüwelChristian BeecksPublished in: ICDM (2021)
Keyphrases
- machine learning
- probabilistic logic
- machine learning methods
- probability theory
- machine learning algorithms
- probabilistic model
- knowledge acquisition
- machine learning approaches
- pattern recognition
- bayesian networks
- probabilistic reasoning
- inductive learning
- artificial intelligence
- modal logic
- logical inference
- handling uncertainty
- learning tasks
- classical logic
- neural network
- data mining
- learning algorithm
- information extraction
- automated reasoning
- feature selection
- decision trees
- computational intelligence
- inductive logic programming
- text mining
- explanation based learning
- generative model
- multi valued
- text classification
- uncertain data
- predicate logic
- probabilistic knowledge
- deontic logic
- asynchronous circuits
- logic programming