Learning Markov Blankets From Multiple Interventional Data Sets
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2927636
Abstract: Learning Markov blankets (MBs) plays an important role in many machine learning tasks, such as causal Bayesian network structure learning, feature selection, and domain adaptation. Since variables included in the MB of a target variable… read more here.
Keywords: learning markov; multiple interventional; data sets; interventional data ... See more keywords
Blind Super-Resolution via Meta-Learning and Markov Chain Monte Carlo Simulation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2024.3400041
Abstract: Learning based approaches have witnessed great successes in blind single image super-resolution (SISR) tasks, however, handcrafted kernel priors and learning based kernel priors are typically required. In this paper, we propose a meta-learning and Markov… read more here.
Keywords: markov chain; learning based; super resolution; learning markov ... See more keywords