Searching for "Boosting Methods for Regression." – sorted by Relevance.
-
Boosting Methods for Regression
- Boosting Methods for Regression ∗ Machine Learning, 47, 153–200, 2002 c○ 2002 Kluwer Academic
- Cited by 7 (0 self) – Add To MetaCart
-
Image Based Regression Using Boosting Method
- Image Based Regression Using Boosting Method Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Zhou
- Cited by 5 (2 self) – Add To MetaCart
-
Boosting Methodology for Regression Problems
- received little investigation. In this paper we develop a new boosting method for regression problems. We
- Add To MetaCart
-
Smoothing with curvature constraints based on boosting techniques
- by boosting techniques. Therefore, recently developed componentwise boosting methods for regression purposes
- Cited by 1 (0 self) – Add To MetaCart
-
Boosting Methodology for Regression Problems
- boosting method for regression problems. We cast the regression problem as a classification problem
- Cited by 13 (1 self) – Add To MetaCart
-
A Gradient-Based Boosting Algorithm for Regression Problems
- training error, and compare its performance to other regression methods. The aim of boosting algorithms
- Cited by 15 (0 self) – Add To MetaCart
-
Conditional Density Learning via Regression with Application to Deformable Shape Segmentation
- are more controllable. 3. Regression using boosting method We represent an object in an image I by a set
- Cited by 1 (1 self) – Add To MetaCart
-
Consistency for L2Boosting and Matching Pursuit with Trees and Tree-type Basis Functions
- classication. Friedman (2001) developed boosting methods for regression. He also considers the case where
- Cited by 5 (1 self) – Add To MetaCart

