Results 71 to 80 of about 5,039,055 (202)

Advanced supervised machine learning methods for precise diabetes mellitus prediction using feature selection

open access: yesFrontiers in Medicine
BackgroundDiabetes mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting millions, many of whom remain undiagnosed in the early stages.
Gufran Ahmad Ansari   +3 more
doaj   +1 more source

Thermal time model for Egyptian broomrape ‎‎(Phelipanche aegyptiaca) parasitism dynamics in carrot ‎‎(Daucus carota L.): Field validation ‎

open access: yesFrontiers in Plant Science, 2016
Carrot, a highly profitable crop in Israel, is severely damaged by Phelipanche aegyptiaca ‎parasitism. Herbicides can effectively control the parasite and prevent damage, but for ‎optimal results, knowledge about the soil-subsurface phenological stage of
Amnon Cochavi   +3 more
doaj   +1 more source

No unbiased Estimator of the Variance of K-Fold Cross-Validation [PDF]

open access: yes
In statistical machine learning, the standard measure of accuracy for models is the prediction error, i.e. the expected loss on future examples. When the data distribution is unknown, it cannot be computed but several resampling methods, such as K-fold ...
Yoshua Bengio, Yves Grandvalet
core  

Enhancing Interpretable Multiclass Lung Cancer Severity Classification using TabNet

open access: yesJournal of Applied Informatics and Computing
Lung cancer poses a significant global mortality challenge, with early clinical detection hindered by non-specific symptoms making accurate diagnosis dependent on extracting subtle patterns from often complex medical tabular data.
Maria Bernadette Chayeenee Norman   +4 more
doaj   +1 more source

Wally and the Major [picture] : cross purposes /

open access: yes, 1969
Part of the Stan Cross Archive of cartoons and drawings, 1912-1974.; Inscription: "Stan Cross 9/66"--In ink, lower right. "8939 Tue Mar 18 Cross Purposes"--In ink, right margin; "8939"--In pencil, upper right corner.; Also available in an electronic ...
Cross, Stan, 1888-1977.
core  

CNN models trained in cross-validation

open access: yes, 2023
Models trained in 10-fold cross-validation for pleural thickening and scoliosis classification using different pre-trained CNN models.
Naoaki ONO (16974216)
core   +1 more source

Cross-validation results.

open access: yes, 2019
(Left-panel)nlp (negative log-probability) averaged across leave-one-out cross-validation folds. Lower values are better. (Right-panel) Percentage of actions predicted correctly averaged over cross-validation folds. Error-bars represent 1SEM.
Amir Dezfouli (350781)   +4 more
core   +1 more source

Gyroscope Failure Trend Prediction Based on CPSO-LSSVM Algorithm

open access: yes工程科学与技术, 2010
:In order to improve the learning performance and generalization ability of the least squares support vector machine (LSSVM), Chaos particle swarm optimization algorithm (CPSO) combined with k-fold cross validation (CV) was proposed for selecting the ...
Gao Yunhong, Li Yibo
doaj  

Stan's father Theopholis Cross [picture] /

open access: yes, 1900
Part of the Stan Cross Archive of cartoons and drawings, 1912-1974.; Inscription: "Stan's father Theopholis"--In ink, on verso.; Also available in an electronic version via the internet at: http://nla.gov.au/nla.pic ...
Cross, Stan, 1888-1977.
core  

Cross-validation is dead. Long live cross-validation! Model validation based on resampling [PDF]

open access: yesJournal of Cheminformatics, 2010
Cross-validation was originally invented to estimate the prediction error of a mathematical modelling procedure. It can be shown that cross-validation estimates the prediction error almost unbiasedly. Nonetheless, there are numerous reports in the chemoinformatic literature that cross-validated figures of merit cannot be trusted and that a so-called ...
openaire   +2 more sources

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