68 search results - page 12 / 14 » On the Margin Explanation of Boosting Algorithms |
SDM
2008
SIAM
13 years 8 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
ROCAI
2004
Springer
14 years 11 days ago
2004
Springer
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probabili...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...