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1. Full Text Selecting the number of components in principal component analysis using cross-validation approximations
by Josse, Julie and Husson, François
Computational statistics & data analysis, ISSN 0167-9473, 06/2012, Volume 56, Issue 6, pp. 1869 - 1879
Generalized cross-validation | Smoothing matrix | Cross-validation | Number of components | PCA | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | PCA Number of components Cross-validation Smoothing matrix Generalized cross-validation | Approximation | Smoothing | Regression | Projection | Computational efficiency | Criteria | Forecasting | Principal component analysis
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2. Full Text Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
by Wong, Tzu-Tsung
Pattern recognition, ISSN 0031-3203, 09/2015, Volume 48, Issue 9, pp. 2839 - 2846
k-Fold cross validation | Classification | Independence | Leave-one-out cross validation | Sampling distribution | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Analysis | Algorithms
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3. Full Text Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
by Vehtari, Aki and Gelman, Andrew and Gabry, Jonah
Statistics and computing, ISSN 0960-3174, 08/2016, Volume 27, Issue 5, pp. 1413 - 1432
Stan | Widely applicable information criterion (WAIC) | Bayesian computation | Pareto smoothed importance sampling (PSIS) | Leave-one-out cross-validation (LOO) | K-fold cross-validation | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Science & Technology | Computer science | Analysis | Models | Bayesian analysis
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4. Full Text Assessing transferability of ecological models: an underappreciated aspect of statistical validation
by Wenger, Seth J and Olden, Julian D
Methods in ecology and evolution, ISSN 2041-210X, 04/2012, Volume 3, Issue 2, pp. 260 - 267
statistical | generality | performance | species distribution model | cross‐validation | niche model | Generality | Statistical | Species distribution model | Performance | Niche model | Cross-validation | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Science & Technology | Neural networks | Fish | Models
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5. Full Text Procrustes Cross-Validation of short datasets in PCA context
by Pomerantsev, Alexey L and Rodionova, Oxana Ye
Talanta (Oxford), ISSN 0039-9140, 05/2021, Volume 226
Small data | Designed data | Procrustes cross-validation
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6. Full Text Likelihood Cross-Validation Versus Least Squares Cross-Validation for Choosing the Smoothing Parameter in Kernel Home-Range Analysis
by JON S. HORNE and EDWARD O. GARTON
The Journal of wildlife management, ISSN 0022-541X, 2006, Volume 70, Issue 3, pp. 641 - 648
least squares cross-validation | utilization distribution | Kullback-Leibler distance | kernel methods | likelihood cross-validation | home range | smoothing parameter | Wildlife ecology | Density estimation | Estimation bias | Sample size | Sampling bias | Research Articles | Mathematical minima | Data smoothing | Wildlife management | Estimators | Estimation methods | Kullback‐Leibler distance | likelihood cross‐validation | least squares cross‐validation | Kernel methods | Home range | Smoothing parameter | Least squares cross-validation | Likelihood cross-validation | Utilization distribution | Environmental Sciences & Ecology | Ecology | Life Sciences & Biomedicine | Zoology | Science & Technology | Usage | Computer-generated environments | Research | Computer simulation | Spatial behavior in animals | Parameter estimation | Estimating techniques | Habitats
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7. Full Text iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
by Liu, Zi and Xiao, Xuan and Qiu, Wang-Ren and Chou, Kuo-Chen
Analytical biochemistry, ISSN 0003-2697, 04/2015, Volume 474, pp. 69 - 77
DNA methylation | 3 → 1 Codon conversion | Pseudo amino acid components | Synthetic minority oversampling technique | Neighborhood cleaning rule | Target–jackknife cross-validation | Target-jackknife cross-validation | Biochemistry & Molecular Biology | Physical Sciences | Chemistry | Life Sciences & Biomedicine | Biochemical Research Methods | Chemistry, Analytical | Science & Technology | Computational Biology - methods | Reproducibility of Results | Humans | Databases, Genetic | DNA Methylation - genetics | Support Vector Machine | Nucleotides - metabolism | Amino Acids - metabolism | Base Sequence | ROC Curve | Software | Codon - genetics | Internet | Genetic research | Methylation | Genomics | DNA | Index Medicus
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8. Full Text Analyzing cross-validation in compressed sensing with Poisson noise
by Rajasekaran, Sudarsanan and Rajwade, Ajit
Signal processing, ISSN 0165-1684, 05/2021, Volume 182
Cross-validation | Poisson noise | Compressed sensing
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9. Full Text Comparison of geostatistical approaches to spatially interpolate month‐year rainfall for the Hawaiian Islands
by Frazier, Abby G and Giambelluca, Thomas W and Diaz, Henry F and Needham, Heidi L
International journal of climatology, ISSN 0899-8418, 03/2016, Volume 36, Issue 3, pp. 1459 - 1470
monthly rainfall | Hawai‘i | cross‐validation | anomalies | kriging | Hawai'i | Monthly rainfall | Cross-validation | Kriging | Anomalies | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Statistical methods | Geology | Comparative analysis | Rain and rainfall | Interpolation
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10. Full Text Bias correction of daily precipitation simulated by a regional climate model: a comparison of methods
by Lafon, Thomas and Dadson, Simon and Buys, Gwen and Prudhomme, Christel
International journal of climatology, ISSN 0899-8418, 05/2013, Volume 33, Issue 6, pp. 1367 - 1381
regional climate model | downscaling | bias correction | cross‐validation | UK | daily precipitation | Bias correction | Daily precipitation | Downscaling | Regional climate model | Cross-validation | Meteorology & Atmospheric Sciences | Physical Sciences | Science & Technology | Geophysics. Techniques, methods, instrumentation and models | Exact sciences and technology | Earth, ocean, space | External geophysics | Climatology. Bioclimatology. Climate change | Water in the atmosphere (humidity, clouds, evaporation, precipitation) | Meteorology | Hydrology | Climate | Models | Climate models | Climatic changes | Rain and rainfall | Methods
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11. Full Text An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
by Airola, Antti and Pahikkala, Tapio and Waegeman, Willem and De Baets, Bernard and Salakoski, Tapio
Computational statistics & data analysis, ISSN 0167-9473, 2011, Volume 55, Issue 4, pp. 1828 - 1844
Area under the ROC curve | Leave-pair-out cross-validation | Conditional AUC estimation | Classifier performance estimation | Cross-validation | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | Numerical analysis. Scientific computation | Numerical methods in probability and statistics | General topics | Linear inference, regression | Numerical analysis | Exact sciences and technology | Probability and statistics | Multivariate analysis | Statistics | Sciences and techniques of general use | Area under the ROC curve Classifier performance estimation Conditional AUC estimation Cross-validation Leave-pair-out cross-validation | Comparative analysis | Methods | Algorithms | Least squares method | Classification | Estimating | Data processing | Strategy | Mathematical models | Deviation | Variance
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12. Full Text Validation of chemometric models – A tutorial
by Westad, Frank and Marini, Federico
Analytica chimica acta, ISSN 0003-2670, 09/2015, Volume 893, pp. 14 - 24
Validation | Resampling | Test set | Cross-validation | Chemometrics | Physical Sciences | Chemistry | Chemistry, Analytical | Science & Technology
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