Pages that link to "Item:Q975579"
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The following pages link to A survey of cross-validation procedures for model selection (Q975579):
Displaying 50 items.
- Projection-based text line segmentation with a variable threshold (Q2012159) (← links)
- Modeling strength and failure variability due to porosity in additively manufactured metals (Q2020756) (← links)
- Model selection in utility-maximizing binary prediction (Q2024476) (← links)
- Decision-based model selection (Q2029390) (← links)
- A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning (Q2044333) (← links)
- Prediction of arch dam deformation via correlated multi-target stacking (Q2056660) (← links)
- MLP-ANN-based execution time prediction model and assessment of input parameters through structural modeling (Q2057545) (← links)
- Risk prediction of hypertension complications based on the intelligent algorithm optimized Bayesian network (Q2060069) (← links)
- Stochastic local interaction model: an alternative to kriging for massive datasets (Q2066859) (← links)
- Nonasymptotic control of the MLE for misspecified nonparametric hidden Markov models (Q2074280) (← links)
- Lasso regression and its application in forecasting macro economic indicators: a study on Vietnam's exports (Q2086244) (← links)
- A phase transition for finding needles in nonlinear haystacks with LASSO artificial neural networks (Q2103975) (← links)
- From zero to hero: realized partial (co)variances (Q2106366) (← links)
- Targeted cross-validation (Q2108483) (← links)
- Equity clusters through the lens of realized semicorrelations (Q2126161) (← links)
- Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
- Bayesian inversion using adaptive polynomial chaos kriging within subset simulation (Q2133745) (← links)
- Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models (Q2134712) (← links)
- Aggregated hold out for sparse linear regression with a robust loss function (Q2136632) (← links)
- Estimation of the global mode of a density: minimaxity, adaptation, and computational complexity (Q2137814) (← links)
- \textsf{StreaMRAK} a streaming multi-resolution adaptive kernel algorithm (Q2141175) (← links)
- Comprehensive analysis of gradient-based hyperparameter optimization algorithms (Q2158645) (← links)
- A negative correlation ensemble transfer learning method for fault diagnosis based on convolutional neural network (Q2160696) (← links)
- Estimating shape parameters of piecewise linear-quadratic problems (Q2165586) (← links)
- How can we identify the sparsity structure pattern of high-dimensional data: an elementary statistical analysis to interpretable machine learning (Q2170515) (← links)
- On the asymptotic behaviour of the variance estimator of a \(U\)-statistic (Q2189102) (← links)
- Best subset selection via cross-validation criterion (Q2192029) (← links)
- Robust machine learning by median-of-means: theory and practice (Q2196199) (← links)
- A multi-objective memetic algorithm for low rank and sparse matrix decomposition (Q2200637) (← links)
- An augmented MFS approach for brain activity reconstruction (Q2229111) (← links)
- Physically-constrained data-driven inversions to infer the bed topography beneath glaciers flows. Application to East Antarctica (Q2240964) (← links)
- On foundation of the dimensionality reduction method for explanatory variables (Q2253973) (← links)
- MDR method for nonbinary response variable (Q2256742) (← links)
- Data science, big data and statistics (Q2273155) (← links)
- Prediction error bounds for linear regression with the TREX (Q2273161) (← links)
- MBLDA: a novel multiple between-class linear discriminant analysis (Q2282060) (← links)
- Modeling uncertainty of expert elicitation for use in risk-based optimization (Q2288878) (← links)
- Variational approach for learning Markov processes from time series data (Q2303757) (← links)
- Non-parametric Poisson regression from independent and weakly dependent observations by model selection (Q2317256) (← links)
- Optimality of training/test size and resampling effectiveness in cross-validation (Q2317259) (← links)
- Model selection via marginal likelihood estimation by combining thermodynamic integration and gradient matching (Q2329805) (← links)
- Support vector regression based on grid-search method for short-term wind power forecasting (Q2336761) (← links)
- Carpal tunnel syndrome automatic classification: electromyography vs. ultrasound imaging (Q2343069) (← links)
- Semiparametric stochastic volatility modelling using penalized splines (Q2354745) (← links)
- Generalised density forecast combinations (Q2354855) (← links)
- Ranking in evolving complex networks (Q2364306) (← links)
- On polynomial chaos expansion via gradient-enhanced \(\ell_1\)-minimization (Q2375016) (← links)
- Bayesian calibration, validation and uncertainty quantification for predictive modelling of tumour growth: a tutorial (Q2408846) (← links)
- A resilient domain decomposition polynomial chaos solver for uncertain elliptic PDEs (Q2414430) (← links)
- Upward and downward bias when measuring inequality of opportunity (Q2417423) (← links)
