285 search results - page 24 / 57 » A fuzzy random forest |
138
click to vote
ICONIP
2008
15 years 5 months ago
2008
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
117
Voted
IFSA
2007
Springer
15 years 10 months ago
2007
Springer
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
204
click to vote
ECAI
2008
Springer
15 years 5 months ago
2008
Springer
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
121
click to vote
TRECVID
2008
15 years 5 months ago
2008
The Oxford/IIIT team participated in the high-level feature extraction and interactive search tasks. A vision only approach was used for both tasks, with no use of the text or aud...
143
click to vote
ISCI
2007
15 years 3 months ago
2007
In this paper we study supervised and semi-supervised classification of e-mails. We consider two tasks: filing e-mails into folders and spam e-mail filtering. Firstly, in a sup...