Results 21 to 30 of about 8,346,191 (267)
Single Interaction Multi-Objective Bayesian Optimization [PDF]
, 2022 When the decision maker (DM) has unknown preferences, the standard approach to a multi-objective problem is to generate an approximation of the Pareto front and let the DM choose from the non-dominated designs. However, if the evaluation budget is very limited, the true best solution according to the DM’s preferences is unlikely to be among the small ...
Ungredda, Juan +3 more
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, 1997 8 pages, RevTeX, 1 figure submitted to Phys.
Al-Hujaj, O. -A., Harney, H. L.
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Bayesian Social Aggregation With Almost-Objective Uncertainty
SSRN Electronic Journal, 2022 We consider collective decisions under uncertainty, when agents have generalized Hurwicz preferences, a broad class allowing many different ambiguity attitudes, including subjective expected utility preferences. We consider sequences of acts that are “almost‐objectively uncertain” in the sense that asymptotically, all agents almost agree ...
Pivato, Marcus, Tchouante, Élise Flore
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Multi‐objective optimization and its application in materials science
Materials Genome Engineering Advances, 2023 Optimizing more than one property is inevitable in designing new materials; however, some properties are usually improved at the expense of others. Multi‐objective optimization methods in engineering and computer science have proven to be an effective ...
Bofeng Shi, T. Lookman, D. Xue
semanticscholar +1 more source
Bayesian Statistical Pragmatism [PDF]
, 2011 Discussion of "Statistical Inference: The Big Picture" by R. E. Kass [arXiv:1106.2895]Comment: Published in at http://dx.doi.org/10.1214/11-STS337C the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http:
Gelman, Andrew
core +3 more sources
Objective Bayesian Inference for Bilateral Data
Bayesian Analysis, 2015 Published at http://dx.doi.org/10.1214/14-BA890 in the Bayesian Analysis (http://projecteuclid.org/euclid.ba) by the International Society of Bayesian Analysis (http://bayesian.org/)
M’lan, Cyr Emile, Chen, Ming-Hui
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Objective Bayesian Nets for Integrating Consistent Datasets
Journal of Artificial Intelligence Research, 2022 This paper addresses a data integration problem: given several mutually consistent datasets each of which measures a subset of the variables of interest, how can one construct a probabilistic model that fits the data and gives reasonable answers to questions which are under-determined by the data?
Landes J., Williamson J.
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FEBS Open Bio, EarlyView.Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Poststroke fatigue (PSF) and frailty share substantial overlap in their manifestations, yet previous research has yielded conflicting results due to the use of heterogeneous frailty assessment tools. Objective To evaluate the independent impact of frailty on PSF using a unified measurement system (Tilburg Frailty Indicator, TFI ...
Chuan‐Bang Chen +6 more
wiley +1 more source
Beyond subjective and objective in statistics [PDF]
, 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