1707 search results - page 6 / 342 » A Boosting Algorithm for Regression |
COLT
2000
Springer
14 years 1 days ago
2000
Springer
In this paper we examine master regression algorithms that leverage base regressors by iteratively calling them on modified samples. The most successful leveraging algorithm for c...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
ISBI
2011
IEEE
13 years 4 days ago
2011
IEEE
We develop a new algorithm to segment the hippocampus from MR images. Our method uses a new classifier ensemble algorithm to correct segmentation errors produced by a multi-atlas...
IJCAI
2007
13 years 10 months ago
2007
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
ML
2007
ACM
13 years 8 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...