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pro vyhledávání: '"Montgomery, Jacob"'
We develop a novel measurement framework based on a Gaussian process coregionalization model to address a long-lasting debate in psychometrics: whether psychological features like personality share a common structure across the population, vary uniqu
Externí odkaz:
http://arxiv.org/abs/2407.04970
More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models
Vision Language Models (VLMs), exemplified by GPT-4V, adeptly integrate text and vision modalities. This integration enhances Large Language Models' ability to mimic human perception, allowing them to process image inputs. Despite VLMs' advanced capa
Externí odkaz:
http://arxiv.org/abs/2407.06194
Large language models (LLMs) are becoming pervasive in everyday life, yet their propensity to reproduce biases inherited from training data remains a pressing concern. Prior investigations into bias in LLMs have focused on the association of social g
Externí odkaz:
http://arxiv.org/abs/2401.08495
Autor:
Montgomery, Jacob Michael
In this dissertation, I challenge the unitary-actor assumption of contemporary theoretical models of American politics and re-conceptualize party competition as an evolutionary process. I begin by discussing the assumptions of Darwin's theory and the
Externí odkaz:
http://hdl.handle.net/10161/5634
Autor:
Helmes, Emily1 (AUTHOR) jmmontgomery@ucdavis.edu, Montgomery, Jacob1 (AUTHOR) gsgonzales@ucdavis.edu, Alarcio, Gwendolyne1 (AUTHOR), Mendoza, Herra G.2 (AUTHOR) hdgrajo@ucdavis.edu, Blea, Jeffrey A.3 (AUTHOR) jablea@ucdavis.edu, Beal, Peter A.2 (AUTHOR) pabeal@ucdavis.edu, Moeller, Benjamin C.1 (AUTHOR) bcmoeller@ucdavis.edu
Publikováno v:
International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5752. 15p.
Publikováno v:
Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124 (2020) 520-529
The goal of item response theoretic (IRT) models is to provide estimates of latent traits from binary observed indicators and at the same time to learn the item response functions (IRFs) that map from latent trait to observed response. However, in ma
Externí odkaz:
http://arxiv.org/abs/2006.09900
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Autor:
Montgomery, Jacob R.
Non-parametric ANOVA tests, ordination, and Bayesian generalized linear models (GLMs) revealed strong physical, chemical, and biological differences among the study sites. Lower trophic foodweb indexes (i.e., chlorophyll-a (chl-a) concentration, zoop
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=10620274
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Jun 01. 118(23), 1-10.
Externí odkaz:
https://www.jstor.org/stable/27040863
Akademický článek
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