Results 61 to 70 of about 346,567 (317)
The Astrophysical JournalWe investigate uncertainties in the estimation of the Hubble constant ( H _0 ) arising from Gaussian process (GP) reconstruction, demonstrating that the choice of kernel introduces systematic variations comparable to those arising from different ...
Ruchika, Purba Mukherjee, Arianna Favale
doaj +1 more source
CoRR, 2013 Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)
Nir Friedman, Iftach Nachman
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Thin and deep Gaussian processes
Advances in Neural Information Processing Systems 36, 2023 Accepted at the Conference on Neural Information Processing Systems (NeurIPS ...
de Souza, Daniel Augusto +8 more
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Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Science and Technology for Energy TransitionSurrogate models have become a widely used solution for reducing computation times along design processes. In this work, a Gaussian Process surrogate model is built and used to predict the performance and losses of a wound field electrical machine in a ...
Mazloum Rebecca +5 more
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Variational Bayesian multinomial probit regression with Gaussian process priors [PDF]
, 2006 It is well known in the statistics literature that augmenting binary and polychotomous response models with Gaussian latent variables enables exact Bayesian analysis via Gibbs sampling from the parameter posterior.
Rogers, S., Girolami, M.
core
A Probabilistic Perspective on Gaussian Filtering and Smoothing [PDF]
, 2010 15.07.13 KB. Ok to add report to Spiral.We present a general probabilistic perspective on Gaussian filtering and smoothing. This allows us to show that common approaches to Gaussian filtering/smoothing can be distinguished solely by their methods of ...
Deisenroth, MP, Ohlsson, H
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Interpreting the effects of DNA polymerase variants at the structural level
Molecular Oncology, EarlyView.Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Multiresolution Gaussian Processes
, 2012 We propose a multiresolution Gaussian process to capture long-range, non-Markovian dependencies while allowing for abrupt changes. The multiresolution GP hierarchically couples a collection of smooth GPs, each defined over an element of a random nested partition. Long-range dependencies are captured by the top-level GP while the partition points define
Emily B. Fox, David B. Dunson
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Manifold Gaussian Processes for regression [PDF]
2016 International Joint Conference on Neural Networks (IJCNN), 2016 26.03.14 KB.
Roberto Calandra +3 more
openaire +5 more sources