Results 11 to 20 of about 22,043,161 (356)
A bootstrap study of minimal model deformations [PDF]
Journal of High Energy PhysicsFor QFTs in AdS the boundary correlation functions remain conformal even if the bulk theory has a scale. This allows one to constrain RG flows with numerical conformal bootstrap methods.
António Antunes +2 more
doaj +7 more sources
Environmental Health Perspectives, 2009 Background Concerns have been raised about findings of associations between particulate matter (PM) air pollution and mortality that have been based on a single “best” model arising from a model selection procedure, because such a strategy may ignore ...
Steven Roberts, Michael A. Martin
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Statistical Bootstrap Model of Hadrons [PDF]
Physical Review D, 1971 The hadron is considered to be a compound with two or more constituents circulating freely in a box of radius ≈10^-13 cm. The density of hadron levels, ρ (m), is estimated from the number of states in the box (statistical condition) and is also required ...
S. Frautschi
semanticscholar +5 more sources
Prediction of Hourly Global Solar Radiation: Comparison of Neural Networks / Bootstrap Aggregating [PDF]
Kemija u Industriji, 2023 This research work explores the use of single neural networks and bootstrap aggregated neural networks for predicting hourly global solar radiation. A database of 3606 data points were from the Renewable Energies Development Center, radiometric station ...
Abdennasser Dahmani +4 more
doaj +1 more source
The extraordinary boundary transition in the 3d O(N) model via conformal bootstrap [PDF]
, 2021 : This paper studies the critical behavior of the 3d classical O( N ) model with a boundary. Recently, one of us established that upon treating N as a continuous variable, there exists a critical value N c > 2 such that for 2 ≤ N < N c the model exhibits
J. Padayasi +4 more
semanticscholar +1 more source
Bootstrap Latent Representations for Multi-modal Recommendation [PDF]
The Web Conference, 2022 This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendation accuracy.
Xin Zhou +7 more
semanticscholar +1 more source
Bootstrap aggregation for model selection in the model-free formalism [PDF]
Magnetic Resonance, 2021 The ability to make robust inferences about the dynamics of biological macromolecules using NMR spectroscopy depends heavily on the application of appropriate theoretical models for nuclear spin relaxation.
T. Crawley, A. G. Palmer III
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Bootstrapping DSGE Models [PDF]
SSRN Electronic Journal, 2016 This paper explores the potential of bootstrap methods in the empirical evalu- ation of dynamic stochastic general equilibrium (DSGE) models and, more generally, in linear rational expectations models featuring unobservable (latent) components. We consider two dimensions. First, we provide mild regularity conditions that suffice for the bootstrap Quasi-
Angelini, Giovanni +2 more
openaire +4 more sources
Deep Learning-Based Bootstrap Detection Scheme for Digital Broadcasting System
IEEE Access, 2021 In the advanced television systems committee (ATSC) 3.0 system, the concept of flexibility is significant for supporting backward compatibility within the same ATSC 3.0 system.
Tae-Hoon Kang +4 more
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Bootstrapping INAR models [PDF]
Bernoulli, 2019 Integer-valued autoregressive (INAR) time series form a very useful class of processes suitable to model time series of counts. In the common formulation of Du and Li (1991,JTSA), INAR models of order p share the autocorrelation structure with classical autoregressive time series. This fact allows to estimate the INAR coeffcients, e.g., by Yule-Walker
Jentsch, Carsten, Weiß, Christian H.
openaire +4 more sources