A Boosting Algorithm for Regression

13 years 8 months ago

Download homes.dsi.unimi.it

A new boosting algorithm ADABOOST-R for regression problems is presented and upper bound on the error is obtained. Experimental results to compare ADABOOST-R and other learning algorithms are given.

Alberto Bertoni, Paola Campadelli, M. Parodi

Real-time Traffic

ICANN 1997 | Learning Algorithms | Neural Networks | Regression Problems | Upper Bound |

claim paper

» Barrier Boosting

» Surrogate maximizationminimization algorithms for AdaBoost and the logistic regression mod...

» Boosting for Regression Transfer

» Some Theoretical Aspects of Boosting in the Presence of Noisy Data

» On the Convergence of Leveraging

» A boosting regression approach to medical anatomy detection

» Boosting Methods for Regression

» ScaleSpace Based Weak Regressors for Boosting

Post Info
More Details (n/a)

Added	07 Aug 2010
Updated	07 Aug 2010
Type	Conference
Year	1997
Where	ICANN
Authors	Alberto Bertoni, Paola Campadelli, M. Parodi

Comments (0)

Sciweavers

A Boosting Algorithm for Regression

ICANN 1997 | Learning Algorithms | Neural Networks | Regression Problems | Upper Bound |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers