1707 search results - page 7 / 342 » A Boosting Algorithm for Regression |
JMLR
2008
13 years 8 months ago
2008
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
NIPS
2007
13 years 10 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
ALT
2006
Springer
14 years 5 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...