Maximum Probability Theorem: A Framework for Probabilistic Machine Learning.
Amir Emad MarvastiEhsan Emad MarvastiUlas BagciHassan ForooshPublished in: IEEE Trans. Artif. Intell. (2021)
Keyphrases
- machine learning
- probabilistic model
- artificial intelligence
- knowledge acquisition
- probability theory
- posterior probability
- computational intelligence
- pattern recognition
- reinforcement learning
- web services
- probability distribution
- learning algorithm
- data sets
- generative model
- machine learning algorithms
- theoretical framework
- statistical methods
- bayesian framework
- conditional probabilities
- genetic algorithm
- conceptual framework
- information retrieval
- temporal context
- probability values