Results 71 to 80 of about 187,683 (312)

The quantum formulation derived from assumptions of epistemic processes [PDF]

open access: yes, 2015
Motivated by Quantum Bayesianism I give background for a general epistemic approach to quantum mechanics, where complementarity and symmetry are the only essential features.
Helland, Inge S.
core   +2 more sources

Bayesian Community Detection [PDF]

open access: yesNeural Computation, 2012
Many networks of scientific interest naturally decompose into clusters or communities with comparatively fewer external than internal links; however, current Bayesian models of network communities do not exert this intuitive notion of communities.
Mørup, Morten, Schmidt, Mikkel N
openaire   +3 more sources

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan   +9 more
wiley   +1 more source

Beyond subjective and objective in statistics [PDF]

open access: yes, 2015
We argue that the words "objectivity" and "subjectivity" in statistics discourse are used in a mostly unhelpful way, and we propose to replace each of them with broader collections of attributes, with objectivity replaced by transparency, consensus ...
Gelman, Andrew, Hennig, Christian
core  

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection [PDF]

open access: green, 2021
Shirong Shen   +5 more
openalex   +1 more source

Bayesian Fairness

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2019
We consider the problem of how decision making can be fair when the underlying probabilistic model of the world is not known with certainty. We argue that recent notions of fairness in machine learning need to explicitly incorporate parameter uncertainty, hence we introduce the notion of Bayesian fairness as a suitable candidate for fair decision rules.
Dimitrakakis, C. (Christos)   +3 more
openaire   +5 more sources

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

open access: yesAdvanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam   +2 more
wiley   +1 more source

Bayesian Fused Lasso Modeling via Horseshoe Prior [PDF]

open access: green, 2022
Yuko Kakikawa   +2 more
openalex   +1 more source

Clean Up Behind You ‐ Novel Patterning Approach for Solid Immersion Lenses

open access: yesAdvanced Functional Materials, EarlyView.
A focused ion beam (FIB) milling strategy enables rapid fabrication of solid immersion lenses (SILs) with smooth, debris‐free surfaces eliminating the need for post‐processing. The optimized pattern improves efficiency and surface quality. SILs containing NV centers are also investigated, confirming the technique's suitability for quantum and photonic ...
Aleksei Tsarapkin   +10 more
wiley   +1 more source

Abduction, Bayesianism and Best Explanations in Physics

open access: yesCulturas Cientificas, 2018
This article claims the validity of abductive reasoning, or inference to the best explanation, as a practice of discovery of explanatory scientific hypotheses.
Andrés Rivadulla
doaj  

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