Results 111 to 120 of about 20,022 (282)

MODEL-FORM UNCERTAINTY QUANTIFICATION FOR PREDICTIVE PROBABILISTIC GRAPHICAL MODELS

open access: yes, 2019
In this thesis, we focus on Uncertainty Quantification and Sensitivity Analysis, which can provide performance guarantees for predictive models built with both aleatoric and epistemic uncertainties, as well as data, and identify which components in a ...
Feng, Jinchao
core   +1 more source

Near‐Unity Chiral Lasing Enabled by Quasi‐Bound States in the Continuum

open access: yesAdvanced Materials, EarlyView.
Nanoimprinted chiral array that supports bound states in the continuum is doped with an efficient non‐chiral molecule (Rhodamine‐B) acting as gain medium to produce fully circularly polarized lasing emission. The chiral lasing wavelength can be tuned across the emission band of Rhodamine‐B by adjusting the coating thickness of the TiO2 high refractive ...
Jose Mendoza‐Carreño   +5 more
wiley   +1 more source

Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models

open access: yes, 2016
Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In: Knowledge Engineering and Knowledge Management.
Hartung, Matthias ; https://orcid.org/   +4 more
core   +2 more sources

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

open access: yesAdvanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan   +6 more
wiley   +1 more source

Mateda-2.0: A MATLAB Package for the Implementation and Analysis of Estimation of Distribution Algorithms

open access: yesJournal of Statistical Software, 2010
This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed ...
Roberto Santana   +7 more
doaj  

How do probabilistic graphical models and graph neural networks look at network data?

open access: yesJournal of Physics: Complexity
Graphs are a powerful data structure for representing relational data and are widely used to describe complex real-world systems. Probabilistic graphical models (PGMs) and graph neural networks (GNNs) can both leverage graph-structured data, but their ...
Michela Lapenna, Caterina De Bacco
doaj   +1 more source

EPSOM-Hyb: A General Purpose Estimator of Log-Marginal Likelihoods with Applications in Probabilistic Graphical Models

open access: yesAlgorithms
We consider the estimation of the marginal likelihood in Bayesian statistics, with primary emphasis on Gaussian graphical models, where the intractability of the marginal likelihood in high dimensions is a frequently researched problem.
Eric Chuu   +3 more
doaj   +1 more source

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis. [PDF]

open access: yesNeuropsychologia, 2020
Cai MB   +4 more
europepmc   +1 more source

Energy Band Alignment and Electro‐Optical Behavior of Nearly Unstrained Monolayer MoS2 Heterostructures With GaN

open access: yesAdvanced Materials Interfaces, EarlyView.
Large size (∼100 µm) monolayer MoS2 grown by LPI‐CVD on n‐GaN exhibit a high n‐type doping, very low strain, and a type‐I band alignment at MoS2/GaN interface. Photocurrent measurements under illumination with photon energies from ∼2 to ∼5 eV show superior electro‐optical performances of these MoS2/n‐GaN heterojunctions as compared to Ni/n‐GaN devices ...
Salvatore Ethan Panasci   +12 more
wiley   +1 more source

Preconditioner Approximations for Probabilistic Graphical Models

open access: yes, 2005
We present a family of approximation techniques for probabilistic graphical models, based on the use of graphical preconditioners developed in the scientific computing literature.
John Lafferty   +2 more
core  

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