The following pages link to Stochastic gradient boosting. (Q5958470):
Displaying 50 items.
- Extending models via gradient boosting: an application to Mendelian models (Q2247455) (← links)
- Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers (Q2251439) (← links)
- Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees (Q2259710) (← links)
- A gradient boosting algorithm for survival analysis via direct optimization of concordance index (Q2262348) (← links)
- An image-based automatic Arabic translation system (Q2270852) (← links)
- Predicting missing values: a comparative study on non-parametric approaches for imputation (Q2282599) (← links)
- Predictive analytics of insurance claims using multivariate decision trees (Q2283657) (← links)
- Massive datasets and machine learning for computational biomedicine: trends and challenges (Q2329887) (← links)
- Contingent preference disaggregation model for multiple criteria sorting problem (Q2333013) (← links)
- Cross-conformal predictors (Q2352364) (← links)
- Accelerated gradient boosting (Q2425242) (← links)
- An empirical study of using Rotation Forest to improve regressors (Q2470171) (← links)
- An efficient modified boosting method for solving classification problems (Q2479397) (← links)
- A survey of personalized treatment models for pricing strategies in insurance (Q2513621) (← links)
- A survey of deep network techniques all classifiers can adopt (Q2659274) (← links)
- Method for improving gradient boosting learning efficiency based on modified loss functions (Q2691539) (← links)
- Efficient homomorphic comparison methods with optimal complexity (Q2692383) (← links)
- Uncertainty and forecasts of U.S. recessions (Q2697092) (← links)
- QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval (Q3072522) (← links)
- Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
- Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
- Aggregating classifiers with ordinal response structure (Q4675843) (← links)
- Delta Boosting Machine with Application to General Insurance (Q4689973) (← links)
- Identifying Soccer Players on Facebook Through Predictive Analytics (Q4692043) (← links)
- Boosting with Noisy Data: Some Views from Statistical Theory (Q4819816) (← links)
- Boosted sparse nonlinear distance metric learning (Q4970187) (← links)
- The spatially conscious machine learning model (Q4970309) (← links)
- Randomized Gradient Boosting Machine (Q4971024) (← 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)
- KNN Loss and Deep KNN (Q5025037) (← links)
- Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba (Q5031014) (← links)
- Tweedie gradient boosting for extremely unbalanced zero-inflated data (Q5042144) (← links)
- TREE-BASED MACHINE LEARNING METHODS FOR MODELING AND FORECASTING MORTALITY (Q5045336) (← links)
- Interpreted machine learning in fluid dynamics: explaining relaminarisation events in wall-bounded shear flows (Q5077267) (← links)
- Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded (Q5085481) (← 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)
- AN EFFECTIVE BIAS-CORRECTED BAGGING METHOD FOR THE VALUATION OF LARGE VARIABLE ANNUITY PORTFOLIOS (Q5140083) (← links)
- Time Series Prediction with LSTM Networks and Its Application to Equity Investment (Q5148839) (← links)
- (Q5148942) (← 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)
- Deep Learning at the Interface of Agricultural Insurance Risk and Spatio-Temporal Uncertainty in Weather Extremes (Q5206142) (← links)
- (Q5214207) (← links)
- Adaptive stochastic gradient boosting tree with composite criterion (Q5222449) (← links)
- Prediction with missing data via Bayesian Additive Regression Trees (Q5256379) (← links)
- SOFTWARE RELIABILITY PREDICTION USING INTELLIGENT TECHNIQUES: APPLICATION TO OPERATIONAL RISK PREDICTION IN FIRMS (Q5325619) (← links)
