274 search results - page 18 / 55 » Ranking with Uncertain Labels |
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
JMLR
2010
13 years 3 months ago
2010
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...