1707 search results - page 15 / 342 » A Boosting Algorithm for Regression |
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
Typical music emotion classification (MEC) approaches categorize emotions and apply pattern recognition methods to train a classifier. However, categorized emotions are too ambigu...
NPL
2002
13 years 8 months ago
2002
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
KDD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
APIN
2010
13 years 8 months ago
2010
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
ML
2000
ACM
13 years 8 months ago
2000
ACM
MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is abl...