Pages that link to "Item:Q4468450"
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The following pages link to Boosting With the<i>L</i><sub>2</sub>Loss (Q4468450):
Displaying 50 items.
- Boosting with early stopping: convergence and consistency (Q2583412) (← links)
- A unified framework of constrained regression (Q2631341) (← links)
- Nonparametric Regression Based Image Analysis (Q2787370) (← links)
- Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data (Q2956823) (← links)
- Sparse boosting (Q3093379) (← links)
- Boosting of Image Denoising Algorithms (Q3192649) (← links)
- Boosting method for nonlinear transformation models with censored survival data (Q3304938) (← links)
- Boosting with missing predictors (Q3305011) (← links)
- Theory of Classification: a Survey of Some Recent Advances (Q3373749) (← links)
- Novel Aggregate Deletion/Substitution/Addition Learning Algorithms for Recursive Partitioning (Q3391141) (← links)
- Generalized Additive Models for Pair-Copula Constructions (Q3391152) (← links)
- On stability issues in deriving multivariable regression models (Q3451367) (← links)
- Spectral Algorithms for Supervised Learning (Q3510946) (← links)
- Variable Selection and Model Choice in Geoadditive Regression Models (Q3637018) (← links)
- Modelling Price Paths in On-Line Auctions: Smoothing Sparse and Unevenly Sampled Curves by Using Semiparametric Mixed Models (Q3638846) (← links)
- Variable selection – A review and recommendations for the practicing statistician (Q4563248) (← links)
- Data sharpening on unknown manifold (Q4605250) (← links)
- Detection of differential item functioning in Rasch models by boosting techniques (Q4614710) (← links)
- Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
- (Q4633060) (← links)
- The functional linear array model (Q4971418) (← links)
- Subject-specific Bradley–Terry–Luce models with implicit variable selection (Q4971434) (← links)
- Dimension reduction boosting (Q4975124) (← links)
- An $L_{2}$-Boosting Algorithm for Estimation of a Regression Function (Q4975990) (← links)
- (Q4998979) (← links)
- Regularization: From Inverse Problems to Large-Scale Machine Learning (Q5028166) (← links)
- A new approach of subgroup identification for high-dimensional longitudinal data (Q5036847) (← links)
- Conditional sparse boosting for high-dimensional instrumental variable estimation (Q5040523) (← links)
- Machine learning based on extended generalized linear model applied in mixture experiments (Q5082996) (← links)
- Ensemble of fast learning stochastic gradient boosting (Q5086335) (← links)
- Generalized additive models with unknown link function including variable selection (Q5138222) (← links)
- Random gradient boosting for predicting conditional quantiles (Q5220936) (← links)
- Nonparametric Rotations for Sphere-Sphere Regression (Q5229928) (← links)
- General Sparse Boosting: Improving Feature Selection of L<sub>2</sub>Boosting by Correlation-Based Penalty Family (Q5265816) (← links)
- CLEAR: Covariant LEAst-Square Refitting with Applications to Image Restoration (Q5266374) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- Identification of biomarker‐by‐treatment interactions in randomized clinical trials with survival outcomes and high‐dimensional spaces (Q5280185) (← links)
- Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting (Q5295349) (← links)
- An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
- Optimization by Gradient Boosting (Q5870986) (← links)
- Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies (Q5881134) (← links)
- Discussion on “Two-Stage Procedures for High-Dimensional Data” by Makoto Aoshima and Kazuyoshi Yata (Q5894437) (← links)
- Stochastic boosting algorithms (Q5917853) (← links)
- Remembering Leo (Q5965841) (← links)
- Stochastic boosting algorithms (Q5970612) (← links)
- Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method (Q6055650) (← links)
- Fully corrective gradient boosting with squared hinge: fast learning rates and early stopping (Q6072435) (← links)
- On the selection of predictors by using greedy algorithms and information theoretic criteria (Q6075184) (← links)
- Boosting Distributional Copula Regression (Q6079714) (← links)
- A boosting first-hitting-time model for survival analysis in high-dimensional settings (Q6103255) (← links)
