Pages that link to "Item:Q127532"

The following pages link to Greedy function approximation: A gradient boosting machine. (Q127532):

Displaying 50 items.

• (Q4998872) (← links)
• Log-Linear Bayesian Additive Regression Trees for Multinomial Logistic and Count Regression Models (Q4999153) (← links)
• Survey-Based Forecasting: To Average or Not to Average (Q5015918) (← links)
• APPLYING ECONOMIC MEASURES TO LAPSE RISK MANAGEMENT WITH MACHINE LEARNING APPROACHES (Q5019041) (← links)
• Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets (Q5019887) (← links)
• Improving random forest algorithm by Lasso method (Q5033957) (← links)
• The relative performance of ensemble methods with deep convolutional neural networks for image classification (Q5036355) (← links)
• Conditional sparse boosting for high-dimensional instrumental variable estimation (Q5040523) (← links)
• Tweedie gradient boosting for extremely unbalanced zero-inflated data (Q5042144) (← links)
• Inference on moderation effect with third-variable effect analysis – application to explore the trend of racial disparity in oncotype dx test for breast cancer treatment (Q5044703) (← links)
• TREE-BASED MACHINE LEARNING METHODS FOR MODELING AND FORECASTING MORTALITY (Q5045336) (← links)
• (Q5053280) (← links)
• (Q5054660) (← links)
• Linear Aggregation in Tree-Based Estimators (Q5057103) (← links)
• Survival Regression with Accelerated Failure Time Model in XGBoost (Q5057266) (← links)
• Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications (Q5060788) (← links)
• Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and Its Variance Estimate (Q5066399) (← links)
• Local Linear Forests (Q5066400) (← links)
• Model Interpretation Through Lower-Dimensional Posterior Summarization (Q5066426) (← links)
• Evolution of the Viola-Jones Object Detection Method: A Survey (Q5066699) (← links)
• A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution (Q5066752) (← links)
• DISCRIMINATION-FREE INSURANCE PRICING (Q5067881) (← links)
• Contrast trees and distribution boosting (Q5073143) (← links)
• (Q5080613) (← links)
• Machine learning based on extended generalized linear model applied in mixture experiments (Q5082996) (← links)
• Interactive Slice Visualization for Exploring Machine Learning Models (Q5083345) (← links)
• Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded (Q5085481) (← links)
• Iterative Prediction-and-Optimization for E-Logistics Distribution Network Design (Q5085989) (← links)
• Estimating the Size of Branch-and-Bound Trees (Q5085999) (← links)
• Ensemble of fast learning stochastic gradient boosting (Q5086335) (← links)
• Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
• Weighted bagging: a modification of AdaBoost from the perspective of importance sampling (Q5124773) (← links)
• RandGA: injecting randomness into parallel genetic algorithm for variable selection (Q5130182) (← links)
• Performance Comparison of Machine Learning Platforms (Q5138254) (← links)
• AN EFFECTIVE BIAS-CORRECTED BAGGING METHOD FOR THE VALUATION OF LARGE VARIABLE ANNUITY PORTFOLIOS (Q5140083) (← links)
• ADDRESSING IMBALANCED INSURANCE DATA THROUGH ZERO-INFLATED POISSON REGRESSION WITH BOOSTING (Q5157763) (← links)
• A Data-Driven Random Subfeature Ensemble Learning Algorithm for Weather Forecasting (Q5162342) (← links)
• Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods (Q5165011) (← links)
• Generalized Sobol sensitivity indices for dependent variables: numerical methods (Q5220790) (← links)
• Nonparametric multiple expectile regression via ER-Boost (Q5220800) (← links)
• Random gradient boosting for predicting conditional quantiles (Q5220936) (← links)
• The AdaBoost Flow (Q5247411) (← links)
• General Sparse Boosting: Improving Feature Selection of L₂Boosting by Correlation-Based Penalty Family (Q5265816) (← links)
• Identification of biomarker‐by‐treatment interactions in randomized clinical trials with survival outcomes and high‐dimensional spaces (Q5280185) (← links)
• Variable selection by ensembles for the Cox model (Q5300728) (← links)
• Large-Scale Linear RankSVM (Q5378345) (← links)
• Boosted Regression Trees with Errors in Variables (Q5459609) (← links)
• Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression (Q5476689) (← links)
• Online Adaptive Decision Trees: Pattern Classification and Function Approximation (Q5488505) (← links)
• The residual‐based predictiveness curve: A visual tool to assess the performance of prediction models (Q5739262) (← links)