Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Katherine N. Quinn"'
Autor:
Han Kheng Teoh, Katherine N. Quinn, Jaron Kent-Dobias, Colin B. Clement, Qingyang Xu, James P. Sethna
Publikováno v:
Physical Review Research, Vol 2, Iss 3, p 033221 (2020)
We show that the predicted probability distributions for any N-parameter statistical model taking the form of an exponential family can be explicitly and analytically embedded isometrically in a N+N-dimensional Minkowski space. That is, the model pre
Externí odkaz:
https://doaj.org/article/ab08f6db583248c3a72b4273a5f702d2
Autor:
Katherine N. Quinn, Michelle M. Kelley, Kathryn L. McGill, Emily M. Smith, Zachary Whipps, N. G. Holmes
Publikováno v:
Physical Review Physics Education Research, Vol 16, Iss 1, p 010129 (2020)
Instructional labs are being transformed to better reflect authentic scientific practice, often by removing aspects of pedagogical structure to support student agency and decision making. We explored how these changes impact men’s and women’s par
Externí odkaz:
https://doaj.org/article/b122db3dba364d1cade416d3ade28745
Publikováno v:
Physical Review Physics Education Research, Vol 15, Iss 1, p 010135 (2019)
Introductory physics lab instruction is undergoing a transformation, with increasing emphasis on developing experimentation and critical thinking skills. These changes present a need for standardized assessment instruments to determine the degree to
Externí odkaz:
https://doaj.org/article/600dc2bbddaa46e5b545b10d6769a53e
Publikováno v:
Reports on Progress in Physics. 86:035901
Complex models in physics, biology, economics, and engineering are often sloppy, meaning that the model parameters are not well determined by the model predictions for collective behavior. Many parameter combinations can vary over decades without sig
Autor:
Katherine N. Quinn, Qingyang Xu, Jaron Kent-Dobias, Han Kheng Teoh, Colin B. Clement, James P. Sethna
Publikováno v:
Physical Review Research. 2
We show that the predicted probability distributions for any $N$-parameter statistical model taking the form of an exponential family can be explicitly and analytically embedded isometrically in a $N{+}N$-dimensional Minkowski space. That is, the mod
Autor:
Emily M. Smith, Michelle M. Kelley, Natasha G. Holmes, Zachary Whipps, Katherine N. Quinn, Kathryn L. McGill
Publikováno v:
Physical Review Physics Education Research, Vol 16, Iss 1, p 010129 (2020)
Instructional labs are being transformed to better reflect authentic scientific practice, often by removing aspects of pedagogical structure to support student agency and decision making. We explored how these changes impact men’s and women’s par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb520fd8e5cdfbe0863b6a0d7aebc54a
Autor:
Katherine N. Quinn, Francesco De Bernardis, James P. Sethna, Colin B. Clement, Michael D. Niemack
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 116(28)
Unsupervised learning makes manifest the underlying structure of data without curated training and specific problem definitions. However, the inference of relationships between data points is frustrated by the “curse of dimensionality” in high di
Publikováno v:
Physical Review Physics Education Research, Vol 15, Iss 1, p 010135 (2019)
Introductory physics lab instruction is undergoing a transformation, with increasing emphasis on developing experimentation and critical thinking skills. These changes present a need for standardized assessment instruments to determine the degree to
Publikováno v:
Physical review letters. 122(15)
Complex nonlinear models are typically ill conditioned or sloppy; their predictions are significantly affected by only a small subset of parameter combinations, and parameters are difficult to reconstruct from model behavior. Despite forming an impor
Publikováno v:
2018 Physics Education Research Conference Proceedings.