Results 11 to 20 of about 9,156,502 (281)
Prediction of subsurface microcrack depth of brittle materials based on co-training SVR
Jin'gangshi yu moliao moju gongcheng, 2023 In order to overcome the dilemma of insufficient effective sample number for subsurface microcrack depth in the lapping of brittle materials with fixed abrasives and achieve accurate prediction, a co-training SVR was used to construct the prediction ...
Chuang REN +3 more
doaj +1 more source
Novel WiFi/MEMS Integrated Indoor Navigation System Based on Two-Stage EKF
Micromachines, 2019 Indoor navigation has been developing rapidly over the last few years. However, it still faces a number of challenges and practical issues. This paper proposes a novel WiFi/MEMS integration structure for indoor navigation.
Yi Cui +4 more
doaj +1 more source
Multivariate methods and small sample size: combining with small effect size [PDF]
, 2010 This manuscript is the author's response to: "Dochtermann, N.A. & Jenkins, S.H. Multivariate methods and small sample\ud sizes, Ethology, 117, 95-101." and accompanies this paper: "Budaev, S.
Budaev, Dr. Sergey V.
core +1 more source
Small sample inference for probabilistic index models [PDF]
, 2018 Probabilistic index models may be used to generate classical and new rank tests, with the additional advantage of supplementing them with interpretable effect size measures.
Amorim, Gustavo +4 more
core +1 more source
Acta Scientiarum. Health Sciences, 2017 A non-linear mixed-effects model is proposed to assess the impact of acarbose over time on postprandial glycaemia in a single rat. The model is based on two compartments, one representing the entry of glucose in the blood and the other its exit.
Omar Cléo Neves Pereira +5 more
doaj +1 more source
Remote Sensing, 2022 In recent years, hyperspectral image (HSI) classification (HSIC) methods that use deep learning have proved to be effective. In particular, the utilization of convolutional neural networks (CNNs) has proved to be highly effective.
Chen Ding +7 more
doaj +1 more source
Prediction intervals for reliability growth models with small sample sizes [PDF]
, 2006 Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner.
Quigley, J.L., Walls, L.A.
core +1 more source
Research on medical small sample data classification based on SMOTE and gcForest
物联网学报, 2023 Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest)
Wenchang LIU +3 more
doaj
Small-Sample Behavior of Novel Phase I Cancer Trial Designs [PDF]
, 2012 Novel dose-finding designs, using estimation to assign the best estimated maximum- tolerated-dose (MTD) at each point in the experiment, most commonly via Bayesian techniques, have recently entered large-scale implementation in Phase I cancer clinical ...
Hoff, Peter D., Oron, Assaf P.
core +1 more source
“Student” and Small-Sample Theory [PDF]
Statistical Science, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources