Results 101 to 110 of about 2,877,467 (378)
Matching Bayesian and frequentist coverage probabilities when using an approximate data covariance matrix [PDF]
, 2021 Will J. Percival +3 more
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Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection
Advanced Science, EarlyView.BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He +3 more
wiley +1 more source
Contextual Covariance Matrix Adaptation Evolutionary Strategies [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Many stochastic search algorithms are designed to optimize a fixed objective function to learn a task, i.e., if the objective function changes slightly, for example, due to a change in the situation or context of the task, relearning is required to adapt to the new context.
Abdolmaleki, A. +4 more
openaire +3 more sources
Advanced Science, EarlyView.CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Deep Risk Model: A Deep Learning Solution for Mining Latent Risk Factors to Improve Covariance Matrix Estimation [PDF]
, 2021 Hengxu Lin +3 more
openalex +1 more source
Probing the covariance matrix [PDF]
AIP Conference Proceedings, 2006 By drawing an analogy between the logarithm of a probability distribution and a physical potential, it is natural to ask the question, “what is the effect of applying an external force on model parameters?” In Bayesian inference, parameters are frequently estimated as those that maximize the posterior, yielding the maximum a posteriori (MAP) solution ...
openaire +1 more source
On the covariance matrix of the stationary distribution of a noisy dynamical system
, 2018 In this paper, we analyze the relation between the stability of a noisy dynamical system based on linear approximation and the covariance matrix of its stationary distribution.
Makito Oku, K. Aihara
semanticscholar +1 more source
Advanced Science, EarlyView.Active restoration increases soil organic carbon stocks by reducing microbial nitrogen limitation. Nitrogen availability promotes particulate to mineral‐associated organic carbon conversion by reducing microbial carbon use efficiency. Passive restoration has no effect on soil organic carbon stocks.
Jinchao Gong +15 more
wiley +1 more source
Powers of some one-sided multivariate tests with unknown population covariance matrix [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2009 For a multivariate normal population, Kudo (1963), Shorack (1967) and Perlman (1969) derived the likelihood ratio tests of the null hypothesis that the mean vector is zero with a one-sided alternative for a known covariance matrix, a partially known ...
Samruam Chongcharoen
doaj
Advanced Science, EarlyView.Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao +18 more
wiley +1 more source