Pages that link to "Item:Q1848780"
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The following pages link to Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors) (Q1848780):
Displaying 44 items.
- Stochastic boosting algorithms (Q5970612) (← links)
- Robust penalized empirical likelihood in high dimensional longitudinal data analysis (Q6049408) (← links)
- Fuzzy OWL-Boost: learning fuzzy concept inclusions via real-valued boosting (Q6058113) (← links)
- Estimating propensity scores using neural networks and traditional methods: a comparative simulation study (Q6061348) (← links)
- Some accelerated alternating proximal gradient algorithms for a class of nonconvex nonsmooth problems (Q6064055) (← links)
- Simplex-based Multinomial Logistic Regression with Diverging Numbers of Categories and Covariates (Q6069485) (← links)
- Fully corrective gradient boosting with squared hinge: fast learning rates and early stopping (Q6072435) (← links)
- A nonlinear kernel SVM Classifier via \(L_{0/1}\) soft-margin loss with classification performance (Q6073171) (← links)
- Fast convergence rates of deep neural networks for classification (Q6078714) (← links)
- Boosting Distributional Copula Regression (Q6079714) (← links)
- A hybrid generalized propensity score approach for observational studies (Q6083007) (← links)
- Gradient boosting with extreme-value theory for wildfire prediction (Q6100555) (← links)
- A systematic literature review on the use of machine learning in code clone research (Q6101313) (← links)
- A boosting first-hitting-time model for survival analysis in high-dimensional settings (Q6103255) (← links)
- Notes on the H-measure of classifier performance (Q6106147) (← links)
- Tests and classification methods in adaptive designs with applications (Q6107661) (← links)
- Does the default pecking order impact systemic risk? Evidence from Brazilian data (Q6112874) (← links)
- Infinitesimal gradient boosting (Q6123287) (← links)
- Merging components in linear Gaussian cluster-weighted models (Q6156309) (← links)
- Estimation and inference of treatment effects with \(L_2\)-boosting in high-dimensional settings (Q6163259) (← links)
- Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and Lasso machine learning techniques (Q6175204) (← links)
- \(\alpha\)QBoost: an iteratively weighted adiabatic trained classifier (Q6176986) (← links)
- Robust estimation of heterogeneous treatment effects: an algorithm-based approach (Q6181848) (← links)
- STATISTICALLY VALIDATED LEAD-LAG NETWORKS AND INVENTORY PREDICTION IN THE FOREIGN EXCHANGE MARKET (Q6203296) (← links)
- On the effect of obesity on employment in the presence of observed and unobserved confounding (Q6552774) (← links)
- Effect of data preprocessing on ensemble learning for classification in disease diagnosis (Q6562718) (← links)
- Pseudo-value regression trees (Q6571296) (← links)
- Prediction-based variable selection for component-wise gradient boosting (Q6590297) (← links)
- Use of majority votes in statistical learning (Q6604473) (← links)
- Statistical theory for image classification using deep convolutional neural network with cross-entropy loss under the hierarchical max-pooling model (Q6616182) (← links)
- The vanishing learning rate asymptotic for linear \(L^2\)-boosting (Q6617090) (← links)
- Boosting multivariate structured additive distributional regression models (Q6617538) (← links)
- Causal Interpretations of Black-Box Models (Q6617753) (← links)
- Modelling additive extremile regression by iteratively penalized least asymmetric weighted squares and gradient descent boosting (Q6618193) (← links)
- Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models (Q6623194) (← links)
- The integrated calibration index (ICI) and related metrics for quantifying the calibration of logistic regression models (Q6625202) (← links)
- A review on statistical and machine learning competing risks methods (Q6625438) (← links)
- Gradient boosting for linear mixed models (Q6636028) (← links)
- Super learner for survival data prediction (Q6636051) (← links)
- Significance tests for boosted location and scale models with linear base-learners (Q6637197) (← links)
- A new integrated discrimination improvement index via odds (Q6640117) (← links)
- A new kernel regression approach for robustified <i>L</i> <sub>2</sub> boosting (Q6641333) (← links)
- Predicting gully formation: an approach for assessing susceptibility and future risk (Q6669126) (← links)
- Linear or smooth? Enhanced model choice in boosting via deselection of base-learners (Q6669940) (← links)
