Pages that link to "Item:Q127532"

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

Displaying 50 items.

• Surface warping incorporating machine learning assisted domain likelihood estimation: a new paradigm in mine geology modeling and automation (Q2675143) (← links)
• Model transparency and interpretability: survey and application to the insurance industry (Q2677927) (← links)
• Rationalizing predictions by adversarial information calibration (Q2680803) (← links)
• Growing axons: greedy learning of neural networks with application to function approximation (Q2689211) (← links)
• On a robust gradient boosting scheme based on aggregation functions insensitive to outliers (Q2689582) (← 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)
• Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications (Q2806831) (← links)
• Splines for financial volatility (Q2920261) (← links)
• Seeing Inside the Black Box: Using Diffusion Index Methodology to Construct Factor Proxies in Large Scale Macroeconomic Time Series Environments (Q3063856) (← links)
• QoRank: A query-dependent ranking model using LSE-based weighted multiple hyperplanes aggregation for information retrieval (Q3072522) (← links)
• Application of “Aggregated Classifiers” in Survival Time Studies (Q3298669) (← links)
• Adaptive index models for marker-based risk stratification (Q3303650) (← links)
• Prediction and Inference With Missing Data in Patient Alert Systems (Q3304829) (← links)
• Boosting method for nonlinear transformation models with censored survival data (Q3304938) (← links)
• Boosting with missing predictors (Q3305011) (← links)
• Novel Aggregate Deletion/Substitution/Addition Learning Algorithms for Recursive Partitioning (Q3391141) (← links)
• Measuring the Stability of Results From Supervised Statistical Learning (Q3391150) (← links)
• Heteroscedastic BART via Multiplicative Regression Trees (Q3391438) (← links)
• An adaptive sampling scheme guided by BART—with an application to predict processor performance (Q3561488) (← links)
• Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression (Q3591513) (← links)
• Presence‐Only Data and the EM Algorithm (Q3637006) (← 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)
• (Q4558507) (← links)
• Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
• (Q4633060) (← links)
• On the Convergence of a Greedy Algorithm for the Solution of the Problem for the Construction of Monotone Regression (Q4634678) (← links)
• (Q4636990) (← links)
• Aggregating classifiers with ordinal response structure (Q4675843) (← links)
• Delta Boosting Machine with Application to General Insurance (Q4689973) (← links)
• Boosting with Noisy Data: Some Views from Statistical Theory (Q4819816) (← links)
• Predicting the Geographic Distribution of a Species from Presence‐Only Data Subject to Detection Errors (Q4911960) (← links)
• <i>DD</i>-Classifier: Nonparametric Classification Procedure Based on<i>DD</i>-Plot (Q4916509) (← 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)
• (Q4969173) (← links)
• Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach (Q4969721) (← links)
• Model guided adaptive design and analysis in computer experiment (Q4969853) (← links)
• Boosted sparse nonlinear distance metric learning (Q4970187) (← links)
• Skills in demand for ICT and statistical occupations: Evidence from web‐based job vacancies (Q4970416) (← links)
• Sharpening P-spline signal regression (Q4970952) (← links)
• Randomized Gradient Boosting Machine (Q4971024) (← links)
• The functional linear array model (Q4971418) (← links)
• Subject-specific Bradley–Terry–Luce models with implicit variable selection (Q4971434) (← links)
• A CLASS OF MIXTURE OF EXPERTS MODELS FOR GENERAL INSURANCE: APPLICATION TO CORRELATED CLAIM FREQUENCIES (Q4972120) (← links)
• Dimension reduction boosting (Q4975124) (← links)