Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
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Classifying vulnerability to sleep deprivation using baseline measures of psychomotor vigilancePredicting bee community responses to land-use changes: Effects of geographic and taxonomic biasesTraining in Compensatory Strategies Enhances Rapport in Interactions Involving People with Möbius SyndromeEstimation of the age and amount of brown rice plant hoppers based on bionic electronic nose use."Is voice a marker for Autism spectrum disorder? A systematic review and meta-analysis".A Novel Low-Cost Instrumentation System for Measuring the Water Content and Apparent Electrical Conductivity of Soils.Modelling the Effect of Diet Composition on Enteric Methane Emissions across Sheep, Beef Cattle and Dairy Cows.Conversing with a devil's advocate: Interpersonal coordination in deception and disagreement.An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease.Real-Time Estimation of Satellite-Derived PM2.5 Based on a Semi-Physical Geographically Weighted Regression Model.Ground Level PM2.5 Estimates over China Using Satellite-Based Geographically Weighted Regression (GWR) Models Are Improved by Including NO₂ and Enhanced Vegetation Index (EVI).Thermal Indices and Thermophysiological Modeling for Heat Stress.Fine-temporal forecasting of outbreak probability and severity: Ross River virus in Western Australia.Classification based hypothesis testing in neuroscience: Below-chance level classification rates and overlooked statistical properties of linear parametric classifiers.Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD.Improving satellite-based PM2.5 estimates in China using Gaussian processes modeling in a Bayesian hierarchical settingStatistical comparison of classifiers applied to the interferential tear film lipid layer automatic classification.Incorporating neurophysiological concepts in mathematical thermoregulation models.Early prediction of medication refractoriness in children with idiopathic epilepsy based on scalp EEG analysis.Rapid determination of pH in solid-state fermentation of wheat straw by FT-NIR spectroscopy and efficient wavelengths selection.Using Shakespeare's Sotto Voce to Determine True Identity From Text.Real-Time Estimation of Population Exposure to PM2.5 Using Mobile- and Station-Based Big Data.Modeling Climate Suitability of the Western Blacklegged Tick in California.Development and cross-validation of prognostic models to assess the treatment effect of cisplatin/pemetrexed chemotherapy in lung adenocarcinoma patients.“Kill Two Birds with One Stone”: Urban Tree Species Classification Using Bi-Temporal Pléiades Images to Study Nesting Preferences of an Invasive BirdA Random Forests classification method for urban land-use mapping integrating spatial metrics and texture analysisIdentification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning AlgorithmsArtificial Intelligence Approach for Variant ReportingMachine Learning Applied to Optometry DataAutomatic grading system for human tear filmsTexture and Color Analysis for the Automatic Classification of the Eye Lipid LayerPrediction of Materials Density according to Number of Scattered Gamma Photons Using Optimum Artificial Neural NetworkSupport Vector Regression Based on Grid-Search Method for Short-Term Wind Power ForecastingMultifault Diagnosis of Rolling Element Bearings Using a Wavelet Kurtogram and Vector Median-Based Feature AnalysisEnhanced DET-Based Fault Signature Analysis for Reliable Diagnosis of Single and Multiple-Combined Bearing DefectsA Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and IdentificationA Method for Aileron Actuator Fault Diagnosis Based on PCA and PGC-SVM
P2860
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P2860
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@en
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@nl
type
label
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@en
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@nl
prefLabel
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@en
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@nl
P2093
P356
P1476
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.
@en
P2093
Aritz Pérez
Jose Antonio Lozano
Juan Diego Rodríguez
P304
P356
10.1109/TPAMI.2009.187
P407
P577
2010-03-01T00:00:00Z