Results 231 to 240 of about 63,287 (274)

Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms. [PDF]

Nat Commun
Schmal M, Mäder P.
europepmc   +1 more source

A Global Prospective Harmonization Framework for Suicidality, Anhedonia, and Obsessive‐Compulsive Symptoms in Psychiatric Genetic Studies: A Cross‐Continental Study Within the Ancestral Population Network

American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT This study aims to prospectively collect harmonized, quantitative, and dimensional psychiatric phenotypes (suicidality, anhedonia, and obsessive‐compulsive symptoms) and information on discrimination, stigma, and unfair treatment in up to 27,500 individuals across diverse ancestries and clinical populations for genetic analysis within the NIMH
Ana M. Diaz‐Zuluaga, Jacey L. Anderberg, Ana M. Ramirez‐Diaz, Andrea Horvath Marques, Catherine E. Rast, Daniel Bustamante, Deborah Jonker, Johanna Valencia‐Echeverry, Joseph Kyebuzibwa, Josselyn S. Muñoz, Kristien van der Walt, Mauricio Castaño Ramirez, Olivia Wootton, Renee M. Frederick, Rocky E. Stroud II, Ruben Gur, Sang Jin Rhee, Shaili C. Jha, Stella Gichuru, Susan Service, Victor I. Reus, Akena Dickens, Carlos Lopez‐Jaramillo, Carrie E. Bearden, Dan J. Stein, Ezra S. Susser, James J. Crowley, Jonathan Flint, Kenneth S. Kendler, Lukoye Atwoli, Michele T. Pato, Nelson B. Freimer, Roel A. Ophoff, Yong Min Ahn, Loes Olde Loohuis, Eric A. Storch, Bizu Gelaye   +36 more
wiley   +1 more source

Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]

Sci Rep
Shen Y, Chen J, Wang W, Wu Q, Jiang D, Xia S.   +5 more
europepmc   +1 more source

A weight-sharing Bayesian neural network for consistent feature selection with applications in cancer gene expression data. [PDF]

BMC Bioinformatics
Mishra A, Xia W, Pazhayidam George C.
europepmc   +1 more source

torchtree: Flexible Phylogenetic Model Development and Inference Using PyTorch. [PDF]

Syst Biol
Fourment M, Macaulay M, Swanepoel CJ, Ji X, Suchard MA, Matsen Iv FA.   +5 more
europepmc   +1 more source

Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits. [PDF]

Neuroinformatics
Asadpour A, Azimi A, Wong-Lin K.
europepmc   +1 more source

Variational algorithms for approximate Bayesian inference.

, 2022
openaire   +2 more sources

Collapsed Variational Bayesian Inference for PCFGs.

, 2016
Wang, P, Blunsom, P
openaire   +2 more sources

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Variational Bayesian GAN

2019 27th European Signal Processing Conference (EUSIPCO), 2019
Generative adversarial network (GAN) has been successfully developing as a generative model where the artificial data drawn from the generator are misrecognized as real samples by a discriminator. Although GAN achieves the desirable performance, the challenge is that the mode collapse easily happens in the joint optimization of generator and ...
Jen-Tzung Chien, Chun Lin Kuo
openaire   +1 more source

Variational Bayesian Filtering

IEEE Transactions on Signal Processing, 2008
The use of the variational Bayes (VB) approximation in Bayesian filtering is studied, both as a means to accelerate marginalized particle filtering and as a deterministic local (one-step) approximation. The VB method of approximation is reviewed, together with restrictions that allow various computational savings to be achieved.
Václav Smídl, Anthony Quinn
openaire   +1 more source