Structured Regression Gradient Boosting
We propose a new way to train a structured output prediction model. More specifically, we train nonlinear data terms in a Gaussian Conditional Random Field (GCRF) by a generalized version of gradient boosting. The approach is evaluated on three challenging regression benchmarks: vessel detection, single image depth estimation and image inpainting. These experiments suggest that the proposed boosting framework matches or exceeds the state-of-the-art.
Code (0)
등록된 구현이 없습니다.
Tasks
Depth EstimationImage InpaintingregressionVessel DetectionSimilar Papers 제목 키워드 기반
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been investigated largely in isolation. We sho…
Additive modelsGeneral ClassificationCollective Entity Disambiguation with Structured Gradient Tree Boosting
We present a gradient-tree-boosting-based structured learning model for jointly disambiguating named entities in a document. Gradient tree boosting is a widely used machine learning algorithm that underlies many top-perf…
Entity DisambiguationStagewise Boosting Distributional Regression
Forward stagewise regression is a simple algorithm that can be used to estimate regularized models. The updating rule adds a small constant to a regression coefficient in each iteration, such that the underlying optimiza…
regressionGradient boosting machine with partially randomized decision trees
The gradient boosting machine is a powerful ensemble-based machine learning method for solving regression problems. However, one of the difficulties of its using is a possible discontinuity of the regression function, wh…
BIG-bench Machine LearningregressionNGBoost: Natural Gradient Boosting for Probabilistic Prediction
We present Natural Gradient Boosting (NGBoost), an algorithm for generic probabilistic prediction via gradient boosting. Typical regression models return a point estimate, conditional on covariates, but probabilistic reg…
Predictionregressionscoring ruleWeather Forecasting