Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Clayton Scott"'
Autor:
Tasha Thong, Yutong Wang, Michael D. Brooks, Christopher T. Lee, Clayton Scott, Laura Balzano, Max S. Wicha, Justin A. Colacino
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 8 (2020)
Similarities between stem cells and cancer cells have implicated mammary stem cells in breast carcinogenesis. Recent evidence suggests that normal breast stem cells exist in multiple phenotypic states: epithelial, mesenchymal, and hybrid epithelial/m
Externí odkaz:
https://doaj.org/article/3d368196c177406e9f920e93f3e5ca04
Autor:
Efrén Cruz Cortés, Clayton Scott
Publikováno v:
IEEE Transactions on Signal Processing. 65:1310-1323
Kernel means are frequently used to represent probability distributions in machine learning problems. In particular, the well known kernel density estimator and the kernel mean embedding both have the form of a kernel mean. Unfortunately, kernel mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16c2d2f587238549b62eb725bc734f0
https://doi.org/10.1109/tsp.2016.2628353
https://doi.org/10.1109/tsp.2016.2628353
Autor:
Clayton, Scott
Master of Science
Department of Architectural Engineering and Construction Science
Sutton F. Stephens
Cold-formed steel has become a preferred building material for structural farming in many different types of structures, commonly for
Department of Architectural Engineering and Construction Science
Sutton F. Stephens
Cold-formed steel has become a preferred building material for structural farming in many different types of structures, commonly for
Externí odkaz:
http://hdl.handle.net/2097/4199
Publikováno v:
DSW
High dimensional prediction problems are pervasive in the scientific community. In practice, dimensionality reduction (DR) is often performed as an initial step to improve prediction accuracy and in-terpretability. Principal component analysis (PCA)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3255793644c4df5ffb94d71fa9f24d36
https://doi.org/10.1109/dsw.2019.8755587
https://doi.org/10.1109/dsw.2019.8755587
Autor:
Justin A. Colacino, Clayton Scott, Tasha Thong, Venkatesh Saligrama, Yanbin V. Wang, Laura Balzano
Unsupervised feature selection, or gene filtering, is a common preprocessing step to reduce the dimensionality of single-cell RNA sequencing (scRNAseq) data sets. Existing gene filters operate on scRNAseq datasets in isolation from other datasets. Wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7404457a453a7d40356c7008dab22dab
https://doi.org/10.1101/637488
https://doi.org/10.1101/637488
This paper presents a novel approach and algorithm to the problem of magnetic field interference cancellation of time-varying interference using distributed magnetometers and spacecraft telemetry w...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3129cb107cfb8c5a539c53e367e9cf
https://doi.org/10.1002/essoar.10500304.1
https://doi.org/10.1002/essoar.10500304.1
Publikováno v:
Electron. J. Statist. 13, no. 2 (2019), 4224-4279
Maximizing the likelihood has been widely used for estimating the unknown covariance parameters of spatial Gaussian processes. However, evaluating and optimizing the likelihood function can be computationally intractable, particularly for large numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae078d3b0652f674ac74a671df71d66c
Publikováno v:
IEEE transactions on medical imaging. 37(9)
This paper introduces a fast, general method for dictionary-free parameter estimation in quantitative magnetic resonance imaging (QMRI) via regression with kernels (PERK). PERK first uses prior distributions and the nonlinear MR signal model to simul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::071fc1adc33699bc89f33eb343226555
https://pubmed.ncbi.nlm.nih.gov/29994085
https://pubmed.ncbi.nlm.nih.gov/29994085
Autor:
Gilles Blanchard, Clayton Scott
Publikováno v:
Electron. J. Statist. 12, no. 1 (2018), 1779-1781
We point out a flaw in Lemma 15 of [1]. We also indicate how the main results of that section are still valid using a modified argument.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66495245a97d36f841bb352ba8e5a565
https://doi.org/10.1214/18-ejs1422
https://doi.org/10.1214/18-ejs1422