2988 search results - page 26 / 598 » Experiments with a New Boosting Algorithm |
PAKDD
2001
ACM
15 years 2 months ago
2001
ACM
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
PR
2008
14 years 9 months ago
2008
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
ICVS
2009
Springer
14 years 7 months ago
2009
Springer
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
81
Voted
IJCAI
2003
14 years 11 months ago
2003
In this paper we propose the framework of Monte Carlo algorithms as a useful one to analyze ensemble learning. In particular, this framework allows one to guess when bagging will ...