49 search results - page 6 / 10 » A boosting algorithm for learning bipartite ranking function... |
WSDM
2010
ACM
14 years 4 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
EMMCVPR
2011
Springer
12 years 7 months ago
2011
Springer
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
UAI
2008
13 years 9 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...