Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes.
Antonio RussoMiguel A. Durán-OlivenciaIoannis G. KevrekidisSerafim KalliadasisPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- stochastic processes
- stochastic process
- machine learning
- probability distribution
- kernel methods
- random fields
- markov processes
- computer vision
- probability measures
- reinforcement learning
- markov chain
- random variables
- machine learning algorithms
- active learning
- dynamic bayesian networks
- feature selection
- stochastic model
- feature space
- information retrieval
- continuous time bayesian networks
- kernel function
- text classification
- text mining
- natural language
- learning algorithm
- information extraction
- similarity measure
- image processing