23 search results - page 2 / 5 » Bagging and Boosting Negatively Correlated Neural Networks |
NPL
2006
13 years 5 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
NECO
2006
13 years 5 months ago
2006
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
ANNPR
2006
Springer
13 years 9 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
CIG
2006
IEEE
13 years 7 months ago
2006
IEEE
We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two d...
AI
2002
Springer
13 years 5 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...