Results 51 to 60 of about 667,125 (317)

Analytic Moment-based Gaussian Process Filtering [PDF]

, 2009
04.07.13 KB. Ok to add accepted version to Spiral, authors retain copyright.We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes.
Huber, MF, Deisenroth, MP, Hanebeck, UD
core  

Adaptive Gaussian Markov Random Fields with Applications in Human Brain Mapping [PDF]

, 2005
Functional magnetic resonance imaging (fMRI) has become the standard technology in human brain mapping. Analyses of the massive spatio-temporal fMRI data sets often focus on parametric or nonparametric modeling of the temporal component, while spatial ...
Brezger, Andreas, Fahrmeir, Ludwig, Hennerfeind, Andrea   +2 more
core   +1 more source

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, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

The Gaussian Sequence 3th Order Mod m

Communications in Advanced Mathematical Sciences
The work addresses the study of third-order recurrent sequences for mod m cases. Thus, some definitions aim to transform infinite sequences into finite ones.
Francisco Regis Alves, Renata Teófilo De Sousa, Renata Vieira   +2 more
doaj   +1 more source

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  

Adaptive, cautious, predictive control with Gaussian process priors [PDF]

, 2003
Nonparametric Gaussian Process models, a Bayesian statistics approach, are used to implement a nonlinear adaptive control law. Predictions, including propagation of the state uncertainty are made over a k-step horizon.
Sbarbaro, D., Daniel Sbarbaro, Sbarbaro, CE, Rasmussen, C., ,, Carl Edward Rasmussen, Rasmussen, C.E., Agathe Girard, Murray Smith, RD, Girard, A., Rasmussen, CE, Murray-Smith, R., Roderick Murray-Smith, Girard, A   +13 more
core   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

FEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

Warped Gaussian process modelling of transcriptional regulation [PDF]

, 2012
This article extends recent work on Gaussian process modelling of transcriptional regulation, which assumed additive Gaussian noise of constant variance, to heteroscedastic noise.
Husmeier, D., Ji, R.
core  

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Gaussian work extraction from random Gaussian states is nearly impossible

Physical Review Research, 2023
Quantum thermodynamics can be naturally phrased as a theory of quantum state transformation and energy exchange for small-scale quantum systems undergoing thermodynamical processes, thereby making the resource theoretical approach very well suited. A key
Uttam Singh, Jarosław K. Korbicz, Nicolas J. Cerf   +2 more
doaj   +1 more source