Results 71 to 80 of about 187,683 (312)
The quantum formulation derived from assumptions of epistemic processes [PDF]
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]
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
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]
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]
Shirong Shen +5 more
openalex +1 more source
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
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]
Yuko Kakikawa +2 more
openalex +1 more source
Clean Up Behind You ‐ Novel Patterning Approach for Solid Immersion Lenses
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
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

