Accelerated aptamer selection via SELEX and molecular simulations for lipopolysaccharide detection
Sign Up to like & getrecommendations! Published in 2025 at "RSC Advances"
DOI: 10.1039/d5ra06759f
Abstract: Lipopolysaccharides (LPS), the major components of Gram-negative bacterial outer membranes, are critical virulence factors that can trigger severe immune responses, leading to sepsis and other inflammatory diseases. Rapid and accurate LPS detection is therefore essential… read more here.
Keywords: detection; accelerated aptamer; molecular simulations; aptamer selection ... See more keywords
Variable Selection via Thompson Sampling (Revision)
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1928514
Abstract: Thompson sampling is a heuristic algorithm for the multi-armed bandit problem which has a long tradition in machine learning. The algorithm has a Bayesian spirit in the sense that it selects arms b... read more here.
Keywords: via thompson; thompson sampling; sampling revision; selection via ... See more keywords
Nonlinear Variable Selection via Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2020.1814305
Abstract: Abstract This article presents a general framework for high-dimensional nonlinear variable selection using deep neural networks under the framework of supervised learning. The network architecture includes both a selection layer and approximation layers. The problem… read more here.
Keywords: deep neural; neural networks; selection; selection via ... See more keywords
Variation-Aware Cloud Service Selection via Collaborative QoS Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2019.2895784
Abstract: As the number of cloud services (CSs) offering similar functionality is growing, more attention has been payed on the quality of service (QoS) of CSs. However, in a dynamic cloud environment, the explicit and inherent… read more here.
Keywords: variation aware; selection via; variation; qos ... See more keywords
Discussion of "Data-driven confounder selection via Markov and Bayesian networks" by Jenny Häggström.
Sign Up to like & getrecommendations! Published in 2018 at "Biometrics"
DOI: 10.1111/biom.12787
Abstract: In this discussion we consider why it is important to estimate causal effect parameters well even they are not identified, propose a partially identified approach for causal inference in the presence of colliders, point out… read more here.
Keywords: discussion data; driven confounder; confounder selection; data driven ... See more keywords
Selection on X1 + X2 + ⋯ + Xm via Cartesian product trees
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.483
Abstract: Selection on the Cartesian product is a classic problem in computer science. Recently, an optimal algorithm for selection on A + B, based on soft heaps, was introduced. By combining this approach with layer-ordered heaps… read more here.
Keywords: cartesian product; selection; selection via; via cartesian ... See more keywords