1131 search results - page 121 / 227 » Generalization Improvement in Multi-Objective Learning |
109
Voted
HIS
2004
15 years 1 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
113
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
111
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
140
Voted
SIGIR
2011
ACM
14 years 3 months ago
2011
ACM
In this paper, we investigate a search-based face annotation framework by mining weakly labeled facial images that are freely available on the internet. A key component of such a ...
115
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...