75 search results - page 10 / 15 » A general regression technique for learning transductions |
CEC
2010
IEEE
13 years 3 months ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
NIPS
1993
13 years 10 months ago
1993
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
SIGIR
2006
ACM
14 years 2 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...