Results 21 to 30 of about 1,141,332 (255)
IEEE Access, 2023 Analyzing crowded environments has become an increasingly researched topic in computer vision community, largely due to its myriad practical applications, including enhanced video surveillance systems and the estimation of crowd density in specific ...
Mohammed Sultan Mohammed +5 more
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Frontiers in Surgery, 2021 Background and Objectives: Total knee arthroplasty (TKA) is widely performed to improve mobility and quality of life for symptomatic knee osteoarthritis patients.
Chang Han +6 more
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PENAKSIRAN FUNGSI DENSITAS TIPE KERNEL DENGAN METODE CROSS-VALIDATION (C-V)
Barekeng, 2007 The choice of the bandwidth h is the main problem of kernel density function. In some situations it might be quite useful to have a set of retes corresponding to different bandwidth.It is necessary to agree which bandwidth is an appropriate one.
Mozart W. Talakua
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APLIKASI CROSS VALIDATION PADA MODEL SKILL SISWA
Euclid, 2020 One of the activities in the educational test is making a diagnosis to determine whether or not a person's skills are present. This study specifically aims to design student skill models in basic mathematics courses and perform validation using a leave ...
Wahyu Hartono
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Remote Sensing, 2023 Leaf area index (LAI) is a key indicator of vegetation structure and function, and its products have a wide range of applications in vegetation condition assessment and usually act as important input parameters for ecosystem modeling.
Beibei Shen +11 more
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BioMedInformatics, 2023 The COVID-19 virus has made a huge impact on people’s lives ever since the outbreak happened in December 2019. Unfortunately, the COVID-19 virus has not completely vanished from the world yet, and thus, global agitation is still increasing with mutations
Rajkumar Soundrapandiyan +5 more
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On Estimating Model in Feature Selection With Cross-Validation
IEEE Access, 2019 Both wrapper and hybrid methods in feature selection need the intervention of learning algorithm to train parameters. The preset parameters and dataset are used to construct several sub-optimal models, from which the final model is selected. The question
Chunxia Qi, Jiandong Diao, Like Qiu
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Comparative Analysis of Machine Learning Algorithms for Heart Disease Prediction [PDF]
ITM Web of Conferences, 2021 In the last few years, cardiovascular diseases have emerged as one of the most common causes of deaths worldwide. The lifestyle changes, eating habits, working cultures etc, has significantly contributed to this alarming issue across the globe including ...
Hasan Ruby
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Estimating misclassification error: a closer look at cross-validation based methods
BMC Research Notes, 2012 Background To estimate a classifier’s error in predicting future observations, bootstrap methods have been proposed as reduced-variation alternatives to traditional cross-validation (CV) methods based on sampling without replacement.
Ounpraseuth Songthip +3 more
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Cross-Validation With Confidence [PDF]
Journal of the American Statistical Association, 2019 Cross-validation is one of the most popular model selection methods in statistics and machine learning. Despite its wide applicability, traditional cross validation methods tend to select overfitting models, due to the ignorance of the uncertainty in the testing sample. We develop a new, statistically principled inference tool based on cross-validation
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