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Year Number of Results
1992 1
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2008 3
2010 3
2012 2
2014 1
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2016 1
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2018 4
2019 4
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2022 4
2024 1

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Page 1
Adiabatic quantum linear regression.
Date P, Potok T. Date P, et al. Sci Rep. 2021 Nov 9;11(1):21905. doi: 10.1038/s41598-021-01445-6. Sci Rep. 2021. PMID: 34754050 Free PMC article.
A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form of optimization used to fit a machine learning model to a set of data, which can take up significant amount of time on classical computers. . …
A major challenge in machine learning is the computational expense of training these models. Model training can be viewed as a form o …
Kernel k-Groups via Hartigan's Method.
Franca G, Rizzo ML, Vogelstein JT. Franca G, et al. IEEE Trans Pattern Anal Mach Intell. 2021 Dec;43(12):4411-4425. doi: 10.1109/TPAMI.2020.2998120. Epub 2021 Nov 3. IEEE Trans Pattern Anal Mach Intell. 2021. PMID: 32750776 Free PMC article.
Energy statistics was proposed by Szekely in the 80's inspired by Newton's gravitational potential in classical mechanics and it provides a model-free hypothesis test for equality of distributions. In its original form, energy statistics was formulated in euclidean spaces. …
Energy statistics was proposed by Szekely in the 80's inspired by Newton's gravitational potential in classical mechanics and it provides a …
Quadratic form: a robust metric for quantitative comparison of flow cytometric histograms.
Bernas T, Asem EK, Robinson JP, Rajwa B. Bernas T, et al. Cytometry A. 2008 Aug;73(8):715-26. doi: 10.1002/cyto.a.20586. Cytometry A. 2008. PMID: 18561196 Free article.
However, application of statistical methods of distribution comparison in flow cytometry is difficult owing to instrument noise and the complex shape of intensity distributions. We applied quadratic form (QF) as a mathematical metric for comparison of flow cy …
However, application of statistical methods of distribution comparison in flow cytometry is difficult owing to instrument noise and the comp …
Semidefinite programming for model-based sensorless adaptive optics.
Antonello J, Verhaegen M, Fraanje R, van Werkhoven T, Gerritsen HC, Keller CU. Antonello J, et al. J Opt Soc Am A Opt Image Sci Vis. 2012 Nov 1;29(11):2428-38. doi: 10.1364/JOSAA.29.002428. J Opt Soc Am A Opt Image Sci Vis. 2012. PMID: 23201806
In these methodologies, aberration correction is performed by sequentially changing the settings of the adaptive element until a predetermined image quality metric is optimized. An efficient aberration correction can be achieved by modeling the image quality metric …
In these methodologies, aberration correction is performed by sequentially changing the settings of the adaptive element until a predetermin …
Discriminative margin-sensitive autoencoder for collective multi-view disease analysis.
Zhang Z, Zhu Q, Xie GS, Chen Y, Li Z, Wang S. Zhang Z, et al. Neural Netw. 2020 Mar;123:94-107. doi: 10.1016/j.neunet.2019.11.013. Epub 2019 Dec 2. Neural Netw. 2020. PMID: 31837517
Moreover, a flexible semantic space is formulated by a margin-scalable support vector machine to improve the discriminability of the learning model. Importantly, correntropy induced metric is exploited as a robust regularization measurement to better control outliers for e …
Moreover, a flexible semantic space is formulated by a margin-scalable support vector machine to improve the discriminability of the learnin …
PLA Renewable Bio Polymer Based Solid-State Gamma Radiation Detector-Dosimeter for Biomedical and Nuclear Industry Applications.
Jiang W, DiPrete D, Taleyarkhan RP. Jiang W, et al. Sensors (Basel). 2022 Oct 28;22(21):8265. doi: 10.3390/s22218265. Sensors (Basel). 2022. PMID: 36365965 Free PMC article.
MLR varied quadratically from 0.05 to ~0.2 (1sigma ~ 0.007) in the 0-11 kGy experiments, and from 0.05 to ~0.5 (1sigma ~0.01) in the 0-120 kGy experiments. ...Average porosity vs. dose varied quadratically from ~0 to ~15% in the 0-16 kGy range and from ~0 to ~18% ov …
MLR varied quadratically from 0.05 to ~0.2 (1sigma ~ 0.007) in the 0-11 kGy experiments, and from 0.05 to ~0.5 (1sigma ~0.01) in the …
Optimizing dynamic predictions from joint models using super learning.
Rizopoulos D, Taylor JMG. Rizopoulos D, et al. Stat Med. 2024 Mar 30;43(7):1315-1328. doi: 10.1002/sim.10010. Epub 2024 Jan 25. Stat Med. 2024. PMID: 38270062
Two components of joint models that influence the accuracy of these predictions are the shape of the longitudinal trajectories and the functional form linking the longitudinal outcome history to the hazard of the event. ...In particular, we specify a weighted combination o …
Two components of joint models that influence the accuracy of these predictions are the shape of the longitudinal trajectories and the funct …
Dose-dependent Transmissibility of Chromosome Aberrations at First Mitosis after Exposure to Gamma Rays. I. Modeling and Implications Related to Risk Assessment.
Loucas BD, Shuryak I, Kunkel SR, Cornforth MN. Loucas BD, et al. Radiat Res. 2022 Apr 1;197(4):376-383. doi: 10.1667/RADE-21-00180.1. Radiat Res. 2022. PMID: 35030259 Free PMC article.
We considered two model variants for describing the dose responses. The first assumes independent linear-quadratic (LQ) dose response shapes for the yields of both lethal and nonlethal CAs. ...Among the implications of these findings is the suggestion that similarly shaped …
We considered two model variants for describing the dose responses. The first assumes independent linear-quadratic (LQ) dose response …
An empirical model of proton RBE based on the linear correlation between x-ray and proton radiosensitivity.
Flint DB, Ruff CE, Bright SJ, Yepes P, Wang Q, Manandhar M, Ben Kacem M, Turner BX, Martinus DKJ, Shaitelman SF, Sawakuchi GO. Flint DB, et al. Med Phys. 2022 Sep;49(9):6221-6236. doi: 10.1002/mp.15850. Epub 2022 Jul 28. Med Phys. 2022. PMID: 35831779 Free PMC article.
However, in a clinical setting, proton RBE is still considered to have a fixed value of 1.1 despite the existence of several empirical models that can predict proton RBE based on how a cell's survival curve (linear-quadratic model [LQM]) parameters alpha and beta vary with …
However, in a clinical setting, proton RBE is still considered to have a fixed value of 1.1 despite the existence of several empirical model …
Point Cloud Video Super-Resolution via Partial Point Coupling and Graph Smoothness.
Dinesh C, Cheung G, Bajic IV. Dinesh C, et al. IEEE Trans Image Process. 2022;31:4117-4132. doi: 10.1109/TIP.2022.3166644. Epub 2022 Jun 20. IEEE Trans Image Process. 2022. PMID: 35696478
Second, we promote piecewise smoothness in 3D geometry in each patch using feature graph Laplacian regularizer (FGLR) in an easily computable quadratic form. The two ideas translate to an unconstrained quadratic programming (QP) problem with a system of linea …
Second, we promote piecewise smoothness in 3D geometry in each patch using feature graph Laplacian regularizer (FGLR) in an easily computabl …
29 results