1809 search results - page 15 / 362 » Topic Modeling Ensembles |
ICIP
2009
IEEE
14 years 10 months ago
2009
IEEE
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
ROCAI
2004
Springer
14 years 2 months ago
2004
Springer
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
ESWA
2008
13 years 9 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
IDA
2007
Springer
14 years 3 months ago
2007
Springer
In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
ICONIP
2007
13 years 10 months ago
2007
In this study we propose a new ensemble model composed of several linear perceptrons. The objective of this study is to build a piecewise-linear classifier that is not only compet...