The following pages link to (Q4864293):
Displaying 50 items.
- Prediction and functional analysis of prokaryote lysine acetylation site by incorporating six types of features into Chou's general PseAAC (Q1716885) (← links)
- Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine (Q1717062) (← links)
- Efficient LED-SAC sparse estimator using fast sequential adaptive coordinate-wise optimization (LED-2SAC) (Q1718121) (← links)
- Coordinate descent based hierarchical interactive Lasso penalized logistic regression and its application to classification problems (Q1718372) (← links)
- TV+TV regularization with nonconvex sparseness-inducing penalty for image restoration (Q1719139) (← links)
- Penalized maximum likelihood method to a class of skewness data analysis (Q1719214) (← links)
- Automatic variable selection for partially linear functional additive model and its application to the Tecator data set (Q1721105) (← links)
- Fast Bayesian variable selection for high dimensional linear models: marginal solo spike and slab priors (Q1722055) (← links)
- A simpler approach to coefficient regularized support vector machines regression (Q1722337) (← links)
- Developing integer calibration weights for census of agriculture (Q1722623) (← links)
- Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation (Q1722724) (← links)
- Multinomial regression with elastic net penalty and its grouping effect in gene selection (Q1724410) (← links)
- A systematic review on model selection in high-dimensional regression (Q1726155) (← links)
- High-dimensional grouped folded concave penalized estimation via the LLA algorithm (Q1726165) (← links)
- Robust conditional nonparametric independence screening for ultrahigh-dimensional data (Q1726739) (← links)
- Model selection using mass-nonlocal prior (Q1726889) (← links)
- Prediction with a flexible finite mixture-of-regressions (Q1727867) (← links)
- A novel variational Bayesian method for variable selection in logistic regression models (Q1727887) (← links)
- Sparse-group independent component analysis with application to yield curves prediction (Q1727895) (← links)
- Feature screening in ultrahigh-dimensional partially linear models with missing responses at random (Q1727907) (← links)
- Simultaneous estimation of quantile regression functions using B-splines and total variation penalty (Q1727908) (← links)
- Modal regression statistical inference for longitudinal data semivarying coefficient models: generalized estimating equations, empirical likelihood and variable selection (Q1727913) (← links)
- Bayesian model selection for generalized linear models using non-local priors (Q1727917) (← links)
- Regression adjustment for treatment effect with multicollinearity in high dimensions (Q1727920) (← links)
- Bayesian pollution source identification via an inverse physics model (Q1727923) (← links)
- Single stage prediction with embedded topic modeling of online reviews for mobile app management (Q1728651) (← links)
- Tree ensembles with rule structured horseshoe regularization (Q1728658) (← links)
- Scalpel: extracting neurons from calcium imaging data (Q1728662) (← links)
- Stability approach to selecting the number of principal components (Q1729322) (← links)
- Improving the prediction performance of the Lasso by subtracting the additive structural noises (Q1729359) (← links)
- A new piecewise quadratic approximation approach for \(L_0\) norm minimization problem (Q1729942) (← links)
- Maximal solutions of sparse analysis regularization (Q1730389) (← links)
- Variable selection for spatial Poisson point processes via a regularization method (Q1731184) (← links)
- Modified SCAD penalty for constrained variable selection problems (Q1731229) (← links)
- Shrinkage, pretest, and penalty estimators in generalized linear models (Q1731260) (← links)
- Nonconvex penalized ridge estimations for partially linear additive models in ultrahigh dimension (Q1731372) (← links)
- Signal recovery under mutual incoherence property and oracle inequalities (Q1731904) (← links)
- Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints (Q1733283) (← links)
- Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria (Q1734357) (← links)
- Feature selection for classification models via bilevel optimization (Q1734837) (← links)
- Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
- Alternating iterative methods for solving tensor equations with applications (Q1736417) (← links)
- Efficient \textit{in silico} chromosomal representation of populations via indexing ancestral genomes (Q1736575) (← links)
- Algorithms for drug sensitivity prediction (Q1736854) (← links)
- Scenario screen: a dynamic and context dependent P300 stimulator screen aimed at wheelchair navigation control (Q1737329) (← links)
- Control of MIMO nonlinear systems: a data-driven model inversion approach (Q1737753) (← links)
- Variable selection via the composite likelihood method for multilevel longitudinal data with missing responses and covariates (Q1737998) (← links)
- Bayesian effect fusion for categorical predictors (Q1738136) (← links)
- Variable selection via generalized SELO-penalized Cox regression models (Q1738526) (← links)
- A distributed one-step estimator (Q1739027) (← links)
