Suchergebnisse - "Cross-validation"

Implementing GCV and mGCV to Determine Optimal Knot in Spline Regression for East Java Life Expectancy

Autoren: Lestari, Amanda Ayu Dewi Damaliana, Aviolla Terza Prasetya, Dwi Arman

Quelle: International Journal of Advances in Data and Information Systems; Vol. 6 No. 2 (2025): August 2025-International Journal of Advances in Data and Information Systems; 242-258

Schlagwörter: Life Expectancy, Nonparametric Spline Regression, Generalized Cross Validation, Modified Generalized Cross Validation

Dateibeschreibung: application/pdf

Zugangs-URL: http://ijadis.org/index.php/ijadis/article/view/1379

Classification under partial reject options

Autoren: Karlsson, Måns Hössjer, Ola

Quelle: Journal of Classification. 41(1):2-37

Schlagwörter: Blockwise cross-validation, Bayesian classification, Conformal prediction · Classes of hypotheses, Indifference zones, Markov Chain Monte Carlo, Reward functions with set-valued inputs, Set-valued classifiers, matematisk statistik, Mathematical Statistics

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-203754
https://doi.org/10.1007/s00357-023-09455-x

Tree species distribution modelling using stand-level forest inventory data – a Pinus sylvestris L. case study in Bulgaria

Autoren: Dimitrov, Petar Pensoft Publishers

Weitere Verfasser: Dimitrov, Petar Pensoft Publishers

Quelle: 26:61-83

Schlagwörter: Cross-validation, GIS, GLM, mapping, raster, response curve, Scots pine, SDM

Zugangs-URL: https://www.biodiversitylibrary.org/part/433436

Breast Cancer Diagnosis Using Machine Learning and PSO

Autoren: Silaich, Sarita Yadav, Rajesh

Quelle: Tehnički glasnik. 19:509-515

Schlagwörter: breast cancer, Diagnostic Wisconsin Breast Cancer Database (WDBC), Particle Swarm Optimization (PSO), cross validation, machine learning classifiers

Dateibeschreibung: application/pdf

Understanding forest insect outbreak dynamics: a comparative analysis of machine learning techniques

Autoren: Roberto Molowny-Horas Saeed Harati-Asl Liliana Perez

Quelle: Geo-spatial Information Science, Pp 1-18 (2025)

Schlagwörter: model calibration, QB275-343, forest disturbances, machine-learning, map comparison, Mathematical geography. Cartography, GA1-1776, Land cover changes, cross-validation, Geodesy

Zugangs-URL: https://doaj.org/article/4d843e2eaa4546e19efc09adb006739d

Coupling Remote Sensing With a Process Model for the Simulation of Rangeland Carbon Dynamics

Autoren: Xia, Yushu Sanderman, Jonathan Watts, Jennifer D et al.

Quelle: Journal of Advances in Modeling Earth Systems. 17(3)

Schlagwörter: 37 Earth Sciences (for-2020), 3701 Atmospheric Sciences (for-2020), 3704 Geoinformatics (for-2020), 15 Life on Land (sdg), 13 Climate Action (sdg), gross primary productivity, net ecosystem exchange, soil organic carbon, rangeland, flux towers, modeling, C, carbon, DNDC, Denitrification-Decomposition, DSM, digital soil mapping, fPAR, fraction of absorbed photosynthetically active radiation, GEE, Google Earth Engine, GPP, Gross Primary Productivity, HOC, humus organic carbon, L4C, Level 4 Carbon, LOOCV, leave-one-out cross-validation, LUE, light use efficiency, MBE, mean bias error, NDVI, Normalized Difference Vegetation Index, NEE, net ecosystem exchange of carbon dioxide, NEON, National Ecological Observatory Network, NIR, near infrared band, NLCD, National Land Cover Database, NLDAS, North American Land Data Assimilation System, NPP, net primary productivity, nRMSE, normalized Root Mean Square Error, PI, principal investigator, POC, particulate organic carbon, QC, quality control, RAP, Rangeland Analysis Platform, RB, relative bias, RCTM, Rangeland Carbon Tracking and Management, RECO, ecosystem respiration, RMSE, Root Mean Square Error, ROC, resistant organic carbon, RothC, Rothamsted Carbon, RS, remote sensing, SMAP, Soil Moisture Active-Passive, SMLR, stepwise multiple linear regression, SOC, SOM, soil organic matter, STARFM, Spatial and Temporal Adaptive Reflectance Fusion Model, VPD, vapor pressure deficit, 0401 Atmospheric Sciences (for), 3701 Atmospheric sciences (for-2020), 3704 Geoinformatics (for-2020)

Dateibeschreibung: application/pdf

Zugangs-URL: https://escholarship.org/uc/item/0jh281hh
https://escholarship.org/content/qt0jh281hh/qt0jh281hh.pdf

Comparative Analysis of Machine Learning and Deep Learning Models for Classification and Prediction of Liver Disease in Patients with Hepatitis C

Autoren: Shalem Preetham Gandu M. Roshni Thanka E. Bijolin Edwin et al.

Quelle: Journal of Studies in Science and Engineering, Vol 5, Iss 1 (2025)

Schlagwörter: Ensemble methods, Science, Liver fibrosis, Cross-validation, TA1-2040, Classification, Hepatitis c virus, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/1d5fe314fb4340e39fd302d3592866a2

Comparative Testing of 2D Stroke Gesture Recognizers in Multiple Contexts

Autoren: Nathan Magrofuoco Arthur Sluÿters Paolo Roselli et al.

Weitere Verfasser: Nathan Magrofuoco Arthur Sluÿters Paolo Roselli et al.

Quelle: Proceedings of the ACM on Human-Computer Interaction, Vol. 9, no.4, p. 35 (2025)

Schlagwörter: Gestural input, Human-centered computing, Graphical user interfaces, Web-based interaction, Software and its engineering, Touch screens, Cross-validation, Software prototyping, Pattern matching, User interface management systems, User interface programming, Theory of computation

Zugangs-URL: https://hdl.handle.net/2078.1/301640

Enhancing Stroke Prediction with Logistic Regression and Support Vector Machine Using Oversampling Techniques

Autoren: Risal, Syamsul Fajar Apriyadi A. Sumardin et al.

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 3, Pp 646-658 (2025)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 3 (2025): June 2025; 646-658

Schlagwörter: TA168, machine learning, stroke disease, logistic regression, grid search cross-validation, support vector machine, Information technology, T58.5-58.64, Systems engineering

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/66e5145313404007b76c0cc0a5580167
http://jurnal.iaii.or.id/index.php/RESTI/article/view/6431

Intelligent Web-Based Application for Personalized Obesity Management

Autoren: I Gusti Ngurah Lanang Wijayakusuma Made Sudarma I Ketut Gede Darma Putra et al.

Quelle: Journal of Applied Informatics and Computing, Vol 9, Iss 3, Pp 749-755 (2025)

Schlagwörter: bmi, resnet-152, k-fold cross validation, Electronic computers. Computer science, deep learning, QA75.5-76.95, blackbox testing

Zugangs-URL: https://doaj.org/article/cd5a193ed4084e61b6eaa8c45c9ea9dd

Harmonization of marine gravity data in Eastern Baltic

Autoren: Vents Zusevics

Quelle: Geodesy and Cartography, Vol 51, Iss 2 (2025)

Schlagwörter: quasigeoid, QB275-343, heights, data harmonization, navigation, cross-validation, Geodesy, gravity

Zugangs-URL: https://doaj.org/article/f2b8f24346814165aa1bf43d6c6e6d01

Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection

Autoren: Hassan Tariq Mehwish Majeed Mueed Ahmad

Quelle: International Journal Bioautomation, Vol 29, Iss 2, Pp 117-144 (2025)

Schlagwörter: model selection, machine learning, QH301-705.5, cross validation, support vector machine, combinatorial optimization, Biology (General), hyper parameter tuning

Zugangs-URL: https://doaj.org/article/acfd009fbfd94c00895cc7f251e012d4

Classification of Real and Fake Images Using Error Level Analysis Technique and MobileNetV2 Architecture

Autoren: Muhamad Nur Baihaqi Aris Sugiharto Henri Tantyoko

Quelle: Jurnal Masyarakat Informatika, Vol 16, Iss 1, Pp 54-68 (2025)

Schlagwörter: classification, fine tuning, k-fold cross validation, error level analysis, mobilenetv2, Information technology, T58.5-58.64, pretrained model

Zugangs-URL: https://doaj.org/article/bd2617f4301744d6a0d4917eba158213

Enhancing Finger Vein Classification through CLAHE and Sobel Filtering with Two Channel Hybrid Convolutional Machine Learning Algorithm

Autoren: Berke Cansız Murat Taşkıran

Quelle: Volume: 27, Issue: 80240-246
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Schlagwörter: Evrişimli Sinir Ağları, Makine Öğrenmesi, Yığma Topluluk Öğrenmesi, K- Katlamalı Çapraz Doğrulama, Parmak Damar İzi, Bilgisayar Görüşü ve Çoklu Ortam Hesaplama (Diğer), Convolutional Neural Networks, Machine Learning, Stacking Ensemble Learning, K-Fold Cross Validation, Finger Vein, Computer Vision and Multimedia Computation (Other)

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/deumffmd/issue/91831/1491848

Developing Surface Rainfall Data Based on Blending of Satellite-Based Products and Rain Gauge Observations in the Ngawi Region, East Java

Autoren: Joko Budi Utomo Eko Yuli Handoko Muhammad Aldila Syariz et al.

Quelle: JIF (Jurnal Ilmu Fisika), Vol 17, Iss 2 (2025)

Schlagwörter: Kriging, Satellite product, Physics, QC1-999, Surface Rainfall, Rain gauge, Leave-one-out cross validation

Zugangs-URL: https://doaj.org/article/aa7f90ab35bb446a8c826f93245c6bf7

Raman spectroscopy for the quantitative and qualitative analyses of solid drug formulations of salbutamol

Autoren: Syeda Takmeel Zahra Noor Ul Sabah Muhammad Irfan Majeed et al.

Quelle: Analytical Sciences. 41:705-713

Schlagwörter: principal component analysis, Raman spectroscopy, Salbutamol, partial least squares regression, root mean square error of cross-validation, solid dosage forms

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40253678
https://ruj.uj.edu.pl/handle/item/552605

Regression-based predictive modelling of software size of fintech projects using technical specifications

Autoren: Iqra Kanwal Ali Afzal Malik

Quelle: Mehran University Research Journal of Engineering and Technology, Vol 44, Iss 2, Pp 164-173 (2025)

Schlagwörter: multiple linear regression, software size prediction, technical specifications, Technology, k-fold cross validation, Science, size prediction model, lines of code, TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/6009d8abaef541c2b0a83240d83f34e7

GEOGRAPHICALLY WEIGHTED PANEL REGRESSION MODELING OF POVERTY RATES IN TROPICAL RAINFOREST AREAS OF KALIMANTAN

Autoren: Sifriyani Sifriyani Suyitno Suyitno Ghina Fadhilla Mumtaz

Quelle: Barekeng, Vol 19, Iss 2, Pp 903-916 (2025)

Schlagwörter: poverty, cross validation, weighteing function, gwpr, Probabilities. Mathematical statistics, QA273-280

Zugangs-URL: https://doaj.org/article/1be15fcf8a304dd4bd292f14f27f8eee

IPECAD Modeling Workshop 2023 Cross-Comparison Challenge on Cost-Effectiveness Models in Alzheimer’s Disease

Autoren: Handels, Ron Herring, William L. Kamgar, Farzam et al.

Quelle: Value in Health

Schlagwörter: MILD COGNITIVE IMPAIRMENT, decision-analytic modeling, DEMENTIA, MORTALITY, HEALTH-ECONOMIC-MODELS, Alzheimer's disease, CARE, cross-validation, VALIDATION, LIFE, SDG 3 - Good Health and Well-being, health-economic evaluation, INSTITUTE

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39384068
https://cris.maastrichtuniversity.nl/en/publications/6d8dae48-6cfc-42fd-9a72-7ff5b6b3732d
https://doi.org/10.1016/j.jval.2024.09.006
http://eprints.lse.ac.uk/126261/

Comparison of Direct and Indirect Identification of a Human Driver Model

Autoren: Čelko, Jakub

Quelle: Proceedings II of the 31st Conference STUDENT EEICT 2025: Selected papers. :236-240

Schlagwörter: simulator, model, driver behaviour, identification, cross-validation, steering control

Dateibeschreibung: text; application/pdf

Zugangs-URL: https://hdl.handle.net/11012/255360