Efficient approximations of RNA kinetics landscape using non-redundant sampling
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx269
Abstract: Motivation: Kinetics is key to understand many phenomena involving RNAs, such as co‐transcriptional folding and riboswitches. Exact out‐of‐equilibrium studies induce extreme computational demands, leading state‐of‐the‐art methods to rely on approximated kinetics landscapes, obtained using sampling… read more here.
Keywords: non redundant; kinetics landscapes; efficient approximations; rna kinetics ... See more keywords
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning
Sign Up to like & getrecommendations! Published in 2019 at "Entropy"
DOI: 10.3390/e21060551
Abstract: Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally… read more here.
Keywords: large scale; machine learning; entropy; maximum entropy ... See more keywords