395 search results - page 3 / 79 » Learning to rank with partially-labeled data |
NAACL
2010
13 years 6 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
NIPS
2007
13 years 10 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
PR
2006
13 years 8 months ago
2006
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...