74 search results - page 1 / 15 » Robust bounds for classification via selective sampling |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
BMCBI
2006
13 years 4 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
PAMI
2006
13 years 4 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
COLT
2010
Springer
13 years 2 months ago
2010
Springer
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...
ESANN
2008
13 years 6 months ago
2008
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...