Pages that link to "Item:Q1848780"

The following pages link to Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors) (Q1848780):

Displaying 50 items.

• Boosting the partial least square algorithm for regression modelling (Q3181328) (← links)
• Discriminative Reranking for Natural Language Parsing (Q3225425) (← links)
• Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction (Q3295738) (← links)
• Application of “Aggregated Classifiers” in Survival Time Studies (Q3298669) (← links)
• Adaptive index models for marker-based risk stratification (Q3303650) (← 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)
• A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data (Q3390327) (← links)
• SIMILARITY-BASED COMBINATION OF MULTIPLE CLUSTERINGS (Q3424489) (← links)
• AN EMPIRICAL STUDY OF BOOSTED NEURAL NETWORK FOR PARTICLE CLASSIFICATION IN HIGH ENERGY COLLISIONS (Q3435305) (← links)
• Regularized Estimation in the Accelerated Failure Time Model with High-Dimensional Covariates (Q3436529) (← links)
• Robust Boosting Algorithm Against Mislabeling in Multiclass Problems (Q3503733) (← links)
• Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability (Q3520072) (← links)
• Boosting Method for Local Learning in Statistical Pattern Recognition (Q3536235) (← links)
• Automated trading with boosting and expert weighting (Q3564810) (← links)
• Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
• New Bootstrap Applications in Supervised Learning (Q3616279) (← links)
• A Hybrid Approach of Boosting Against Noisy Data (Q3627899) (← links)
• New aspects of Bregman divergence in regression and classification with parametric and nonparametric estimation (Q3636244) (← links)
• Variable Selection and Model Choice in Geoadditive Regression Models (Q3637018) (← links)
• Regularized Bayesian quantile regression (Q4563406) (← 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)
• Can a corporate network and news sentiment improve portfolio optimization using the Black–Litterman model? (Q4619505) (← links)
• (Q4633060) (← links)
• Confidence sets with expected sizes for Multiclass Classification (Q4637018) (← links)
• Aggregating classifiers with ordinal response structure (Q4675843) (← links)
• Delta Boosting Machine with Application to General Insurance (Q4689973) (← links)
• Robustifying AdaBoost by Adding the Naive Error Rate (Q4819815) (← links)
• Boosting with Noisy Data: Some Views from Statistical Theory (Q4819816) (← links)
• Different Paradigms for Choosing Sequential Reweighting Algorithms (Q4819817) (← links)
• Information Geometry of U-Boost and Bregman Divergence (Q4832497) (← links)
• Embedding black-box regression techniques into hierarchical Bayesian models (Q4925453) (← links)
• TESTS OF THE MARTINGALE DIFFERENCE HYPOTHESIS USING BOOSTING AND RBF NEURAL NETWORK APPROXIMATIONS (Q4933583) (← links)
• Boosting in the Presence of Outliers: Adaptive Classification With Nonconvex Loss Functions (Q4962433) (← links)
• Noise accumulation in high dimensional classification and total signal index (Q4969076) (← links)
• Distributed Decision‐Tree Induction in Peer‐to‐Peer Systems (Q4969623) (← links)
• Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach (Q4969721) (← links)
• Composite large margin classifiers with latent subclasses for heterogeneous biomedical data (Q4970183) (← links)
• Skills in demand for ICT and statistical occupations: Evidence from web‐based job vacancies (Q4970416) (← links)
• Randomized Gradient Boosting Machine (Q4971024) (← links)
• Subject-specific Bradley–Terry–Luce models with implicit variable selection (Q4971434) (← links)
• Dimension reduction boosting (Q4975124) (← links)
• A Generic Path Algorithm for Regularized Statistical Estimation (Q4975409) (← links)
• OR Practice–Data Analytics for Optimal Detection of Metastatic Prostate Cancer (Q5003717) (← links)
• COST-SENSITIVE MULTI-CLASS ADABOOST FOR UNDERSTANDING DRIVING BEHAVIOR BASED ON TELEMATICS (Q5019037) (← links)
• Tweedie gradient boosting for extremely unbalanced zero-inflated data (Q5042144) (← links)
• Using Differentiable Programming for Flexible Statistical Modeling (Q5050844) (← links)
• (Q5054632) (← links)